References
\n```\nwould convert to \n```\n{\"object\": \"block\", \"type\": \"heading_3\", \"heading_3\": { \"rich_text\": [{\"type\": \"text\",\"text\": {\"content\": \"References\"}}]}}\n```\n\n2. lists\n```\n- hello
- world
| Technology | Potential Impact |
|---|---|
| 5G Connectivity | Enables faster data speeds and advanced apps | \n
\nYour Report Is On Its Way!\n
\nDeepResearcher will now work independently to conduct the research and the compiled report will be uploaded to the following Notion page below when finished.\n
\nPlease click the \"Done\" button to complete the form.\n
" }, "formFields": { "values": [ { "html": "=\n
\n
\n",
"fieldType": "html",
"fieldLabel": "message"
}
]
}
},
"typeVersion": 1
},
{
"id": "97ba63b7-9248-4945-9c67-1ea114b20dc5",
"name": "Research Request",
"type": "n8n-nodes-base.form",
"position": [
-1560,
-460
],
"webhookId": "d4ea875f-83cb-49a8-8992-c08b4114c9bd",
"parameters": {
"options": {
"formTitle": "DeepResearcher",
"formDescription": "=\n ![](\"https://res.cloudinary.com/daglih2g8/image/upload/f_auto,q_auto/v1/n8n-workflows/cajjymprexcoesu4gg9g\")
\n
\n \n \n
\n{{ $json.name }}
\n \n {{ $json.property_description }}\n
\n \n \n \n \n \n \n \n \n \n
",
"fieldType": "html",
"fieldLabel": "Enter research depth (recommended 1-5, default 2)"
},
{
"html": "\n This value determines how many sub-queries to generate.\n
\n\n \n \n \n \n \n \n \n \n \n
\n\n",
"fieldType": "html",
"fieldLabel": "Enter research breadth (recommended 2-10, default 4)"
},
{
"fieldType": "dropdown",
"fieldLabel": "={{ \"\" }}",
"multiselect": true,
"fieldOptions": {
"values": [
{
"option": "=I understand higher depth and breath values I've selected may incur longer wait times and higher costs. I acknowledging this and wish to proceed with the research request."
}
]
},
"requiredField": true
}
]
}
},
"typeVersion": 1
},
{
"id": "b3d11997-9c8c-4b72-b750-4fc22a2247b7",
"name": "Valid Blocks",
"type": "n8n-nodes-base.filter",
"position": [
740,
1600
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "f68cefe0-e109-4d41-9aa3-043f3bc6c449",
"operator": {
"type": "string",
"operation": "notExists",
"singleValue": true
},
"leftValue": "={{ $json.error }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "ff90a1c1-b357-4012-8964-e007bef0c9db",
"name": "Sticky Note12",
"type": "n8n-nodes-base.stickyNote",
"position": [
620,
1400
],
"parameters": {
"color": 7,
"width": 580,
"height": 580,
"content": "## 12. Append URL Sources List\n[Read more about the Code node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code)\n\nFor our source URLs, we'll manually compose the Notion blocks for them - this is because there's usually a lot of them! We'll then append to the end of the other blocks."
},
"typeVersion": 1
},
{
"id": "f6b50f06-6122-494c-bdb8-4215f473a27d",
"name": "Append Blocks",
"type": "n8n-nodes-base.merge",
"position": [
1000,
1760
],
"parameters": {},
"typeVersion": 3
},
{
"id": "ca39272a-828e-4314-80da-05dd5fd7b2e3",
"name": "URL Sources to Lists",
"type": "n8n-nodes-base.code",
"position": [
740,
1760
],
"parameters": {
"jsCode": "const urls = $('JobType Router').first().json.data.all_urls;\nconst chunksize = 50;\nconst splits = Math.max(1, Math.floor(urls.length/chunksize));\n\nconst blocks = Array(splits).fill(0)\n .map((_, idx) => {\n const block = urls\n .slice(\n idx * chunksize, \n (idx * chunksize) + chunksize - 1\n )\n .map(url => {\n return {\n object: \"block\",\n type: \"bulleted_list_item\",\n bulleted_list_item: {\n rich_text: [\n { type: \"text\", text: { content: url } }\n ]\n }\n }\n });\n return { json: { block } }\n });\n\nreturn [\n { json: {\n block:[{\n \"object\": \"block\",\n \"type\": \"heading_2\",\n \"heading_2\": {\n \"rich_text\": [\n {\n \"type\": \"text\",\n \"text\": {\n \"content\": \"Sources\"\n }\n }\n ]\n }\n }]\n } },\n ...blocks\n];"
},
"typeVersion": 2
},
{
"id": "e2e2b07a-4039-4859-b60c-f51982475282",
"name": "Has Results?",
"type": "n8n-nodes-base.if",
"position": [
240,
980
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9ef8d40c-1289-4654-9022-4a07f7102555",
"operator": {
"type": "array",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json.results }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "5662dbf2-8877-4e83-982c-6bc5968b8835",
"name": "Empty Response",
"type": "n8n-nodes-base.set",
"position": [
1040,
1120
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "1de40158-338b-4db3-9e22-6fd63b21f825",
"name": "ResearchGoal",
"type": "string",
"value": "={{ $('Item Ref').first().json.researchGoal }}"
},
{
"id": "9f59a2d4-5e5a-4d0b-8adf-2832ce746f0f",
"name": "learnings",
"type": "array",
"value": "={{ [] }}"
},
{
"id": "972ab5f5-0537-4755-afcb-d1db4f09ad60",
"name": "followUpQuestions",
"type": "array",
"value": "={{ [] }}"
},
{
"id": "90cef471-76b0-465d-91a4-a0e256335cd3",
"name": "urls",
"type": "array",
"value": "={{ [] }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "678b6af5-da74-4421-8c3d-0166aa52efd9",
"name": "Has Content?",
"type": "n8n-nodes-base.if",
"position": [
880,
980
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "1ef1039a-4792-47f9-860b-d2ffcffd7129",
"operator": {
"type": "object",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "233f2e19-b4f2-4de3-8002-f79f3c01c1e7",
"name": "Sticky Note13",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1820,
-240
],
"parameters": {
"color": 5,
"width": 300,
"height": 100,
"content": "### Not using forms?\nFeel free ot swap this out for chat or even webhooks to fit your existing workflows."
},
"typeVersion": 1
},
{
"id": "453bb6eb-f2b0-4e21-b647-e095c80b7844",
"name": "Sticky Note14",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1880,
540
],
"parameters": {
"color": 5,
"width": 460,
"height": 240,
"content": "### 🚏 The Subworkflow Event Pattern \nIf you're new to n8n, this advanced technique might need some explaining but in gist, we're using subworkflows to run different parts of our DeepResearcher workflow as separate executions.\n\n* Necessary to implement the recursive loop mechanism needed to enable this workflow.\n* Negates the need to split this workflow into multiple templates.\n* Great generally for building high performance n8n workflows (a topic for a future post!)"
},
"typeVersion": 1
},
{
"id": "289cbe4c-c2e3-46b7-8799-197a7d78ab2a",
"name": "Sticky Note15",
"type": "n8n-nodes-base.stickyNote",
"position": [
720,
-60
],
"parameters": {
"color": 5,
"width": 340,
"height": 200,
"content": "### Recursive Looping\nThe recursive looping implemented for this workflow is an advanced item-linking technique. It works by specifically controlling which nodes \"execute once\" vs\" execute for each item\" because of this becareful of ermoving nodes! Always check the settings of the node you're replacing and ensure the settings match. "
},
"typeVersion": 1
},
{
"id": "b95ffdcd-c0d1-4a12-a7a9-24135db7b467",
"name": "Combine & Send back to Loop",
"type": "n8n-nodes-base.aggregate",
"position": [
-240,
820
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "f0a48ab5-70b9-49dc-a153-61e573803d1e",
"name": "For Each Block...",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1440,
1600
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "2fd17fbd-005d-446e-b014-0da190cd3114",
"name": "Sticky Note16",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2420,
-920
],
"parameters": {
"width": 520,
"height": 1060,
"content": "## n8n DeepResearcher\n### This template attempts to replicate OpenAI's DeepResearch feature which, at time of writing, is only available to their pro subscribers.\n\nThough the inner workings of DeepResearch have not been made public, it is presumed the feature relies on the ability to deep search the web, scrape web content and invoking reasoning models to generate reports. All of which n8n is really good at!\n\n### How it works\n* A form is used to first capture the user's research query and how deep they'd like the researcher to go.\n* Once submitted, a blank Notion page is created which will later hold the final report and the researcher gets to work.\n* The user's query goes through a recursive series of web serches and web scraping to collect data on the research topic to generate partial learnings.\n* Once complete, all learnings are combined and given to a reasoning LLM to generate the final report.\n* The report is then written to the placeholder Notion page created earlier. \n\n### How to use\n* Duplicate this Notion database to use with this template: https://jimleuk.notion.site/19486dd60c0c80da9cb7eb1468ea9afd?v=19486dd60c0c805c8e0c000ce8c87acf\n* Sign-up for [APIFY.com](https://www.apify.com?fpr=414q6) API Key for web search and scraping services.\n* Ensure you have access to OpenAI's o3-mini model. Alternatively, switch this out for o1 series.\n* You must publish this workflow and ensure the form url is publically accessible.\n\n### On Depth & Breadth Configuration\nFor more detailed reports, increase depth and breadth but be warned the workflow will take a exponentially more time and money to complete. The defaults are usually good enough.\n\nDepth=1 & Breadth=2 - will take about 10 - 15mins.\nDepth=1 & Breadth=4 - will take about 30 - 40mins.\nDpeth=3 & Breadth=5 - will take about 2 - 5 hours!\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!"
},
"typeVersion": 1
},
{
"id": "ac6f2604-7439-4524-a27e-2f031ebce089",
"name": "Sticky Note17",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2420,
-1180
],
"parameters": {
"color": 7,
"width": 520,
"height": 240,
"content": ""
},
"typeVersion": 1
},
{
"id": "40e3a0cf-7710-4537-b147-37ba8945fdbc",
"name": "Sticky Note18",
"type": "n8n-nodes-base.stickyNote",
"position": [
-120,
960
],
"parameters": {
"width": 180,
"height": 260,
"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n### UPDATE APIFY CREDENTIAL HERE!"
},
"typeVersion": 1
},
{
"id": "5a96ecc2-eeea-4c33-b299-7a7f2ca7559c",
"name": "Sticky Note19",
"type": "n8n-nodes-base.stickyNote",
"position": [
520,
960
],
"parameters": {
"width": 180,
"height": 260,
"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n### UPDATE APIFY CREDENTIAL HERE!"
},
"typeVersion": 1
},
{
"id": "23bca6e2-e16a-48a4-a7fc-96ce25846764",
"name": "Sticky Note20",
"type": "n8n-nodes-base.stickyNote",
"position": [
1640,
1740
],
"parameters": {
"width": 180,
"height": 260,
"content": "\n\n\n\n\n\n\n\n\n\n\n\n### UPDATE NOTION CREDENTIAL HERE!"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"Item Ref": {
"main": [
[
{
"node": "Web Search",
"type": "main",
"index": 0
}
]
]
},
"Create Row": {
"main": [
[
{
"node": "Initiate DeepResearch",
"type": "main",
"index": 0
}
]
]
},
"Web Search": {
"main": [
[
{
"node": "Top 5 Organic Results",
"type": "main",
"index": 0
}
]
]
},
"Valid Pages": {
"main": [
[
{
"node": "Has Content?",
"type": "main",
"index": 0
}
]
]
},
"Confirmation": {
"main": [
[
{
"node": "End Form",
"type": "main",
"index": 0
}
]
]
},
"Has Content?": {
"main": [
[
{
"node": "Convert to Markdown",
"type": "main",
"index": 0
}
],
[
{
"node": "Empty Response",
"type": "main",
"index": 0
}
]
]
},
"Has Results?": {
"main": [
[
{
"node": "URLs to Items",
"type": "main",
"index": 0
}
],
[
{
"node": "Empty Response",
"type": "main",
"index": 0
}
]
]
},
"Valid Blocks": {
"main": [
[
{
"node": "Append Blocks",
"type": "main",
"index": 0
}
]
]
},
"Append Blocks": {
"main": [
[
{
"node": "For Each Block...",
"type": "main",
"index": 0
}
]
]
},
"HTML to Array": {
"main": [
[
{
"node": "Tags to Items",
"type": "main",
"index": 0
}
]
]
},
"Page Contents": {
"main": [
[
{
"node": "Valid Pages",
"type": "main",
"index": 0
}
],
[]
]
},
"SERP to Items": {
"main": [
[
{
"node": "For Each Query...",
"type": "main",
"index": 0
}
]
]
},
"Set Variables": {
"main": [
[
{
"node": "Clarifying Questions",
"type": "main",
"index": 0
}
]
]
},
"Tags to Items": {
"main": [
[
{
"node": "Notion Block Generator",
"type": "main",
"index": 0
}
]
]
},
"URLs to Items": {
"main": [
[
{
"node": "Page Contents",
"type": "main",
"index": 0
}
]
]
},
"Empty Response": {
"main": [
[
{
"node": "For Each Query...",
"type": "main",
"index": 0
}
]
]
},
"Execution Data": {
"main": [
[
{
"node": "JobType Router",
"type": "main",
"index": 0
}
]
]
},
"JobType Router": {
"main": [
[
{
"node": "Get Existing Row",
"type": "main",
"index": 0
}
],
[
{
"node": "Generate SERP Queries",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Existing Row1",
"type": "main",
"index": 0
}
]
]
},
"Convert to HTML": {
"main": [
[
{
"node": "HTML to Array",
"type": "main",
"index": 0
}
]
]
},
"Set In-Progress": {
"main": [
[
{
"node": "Set Initial Query",
"type": "main",
"index": 0
}
]
]
},
"Get Existing Row": {
"main": [
[
{
"node": "Set In-Progress",
"type": "main",
"index": 0
}
]
]
},
"Research Request": {
"main": [
[
{
"node": "Set Variables",
"type": "main",
"index": 0
}
]
]
},
"Results to Items": {
"main": [
[
{
"node": "Set Next Queries",
"type": "main",
"index": 0
}
]
]
},
"Set Next Queries": {
"main": [
[
{
"node": "Generate Learnings",
"type": "main",
"index": 0
}
]
]
},
"Feedback to Items": {
"main": [
[
{
"node": "For Each Question...",
"type": "main",
"index": 0
}
]
]
},
"For Each Block...": {
"main": [
[
{
"node": "Set Done",
"type": "main",
"index": 0
}
],
[
{
"node": "Upload to Notion Page",
"type": "main",
"index": 0
}
]
]
},
"For Each Query...": {
"main": [
[
{
"node": "Combine & Send back to Loop",
"type": "main",
"index": 0
}
],
[
{
"node": "Item Ref",
"type": "main",
"index": 0
}
]
]
},
"Get Existing Row1": {
"main": [
[
{
"node": "DeepResearch Report",
"type": "main",
"index": 0
}
]
]
},
"Get Initial Query": {
"main": [
[
{
"node": "Report Page Generator",
"type": "main",
"index": 0
}
]
]
},
"Is Depth Reached?": {
"main": [
[
{
"node": "Get Research Results",
"type": "main",
"index": 0
}
],
[
{
"node": "DeepResearch Results",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "DeepResearch Learnings",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Parse JSON blocks": {
"main": [
[
{
"node": "Valid Blocks",
"type": "main",
"index": 0
},
{
"node": "URL Sources to Lists",
"type": "main",
"index": 0
}
]
]
},
"Set Initial Query": {
"main": [
[
{
"node": "Generate Learnings",
"type": "main",
"index": 0
}
]
]
},
"Accumulate Results": {
"main": [
[
{
"node": "Is Depth Reached?",
"type": "main",
"index": 0
}
]
]
},
"Generate Learnings": {
"main": [
[
{
"node": "Accumulate Results",
"type": "main",
"index": 0
}
]
]
},
"On form submission": {
"main": [
[
{
"node": "Research Request",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "DeepResearch Report",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model2": {
"ai_languageModel": [
[
{
"node": "Clarifying Questions",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model3": {
"ai_languageModel": [
[
{
"node": "Generate SERP Queries",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model4": {
"ai_languageModel": [
[
{
"node": "Report Page Generator",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Convert to Markdown": {
"main": [
[
{
"node": "DeepResearch Learnings",
"type": "main",
"index": 0
}
]
]
},
"DeepResearch Report": {
"main": [
[
{
"node": "Convert to HTML",
"type": "main",
"index": 0
}
]
]
},
"Clarifying Questions": {
"main": [
[
{
"node": "Feedback to Items",
"type": "main",
"index": 0
}
]
]
},
"DeepResearch Results": {
"main": [
[
{
"node": "Results to Items",
"type": "main",
"index": 0
}
]
]
},
"For Each Question...": {
"main": [
[
{
"node": "Get Initial Query",
"type": "main",
"index": 0
}
],
[
{
"node": "Ask Clarity Questions",
"type": "main",
"index": 0
}
]
]
},
"Get Research Results": {
"main": [
[
{
"node": "Generate Report",
"type": "main",
"index": 0
}
]
]
},
"URL Sources to Lists": {
"main": [
[
{
"node": "Append Blocks",
"type": "main",
"index": 1
}
]
]
},
"Ask Clarity Questions": {
"main": [
[
{
"node": "For Each Question...",
"type": "main",
"index": 0
}
]
]
},
"Generate SERP Queries": {
"main": [
[
{
"node": "SERP to Items",
"type": "main",
"index": 0
}
]
]
},
"Initiate DeepResearch": {
"main": [
[
{
"node": "Confirmation",
"type": "main",
"index": 0
}
]
]
},
"Report Page Generator": {
"main": [
[
{
"node": "Create Row",
"type": "main",
"index": 0
}
]
]
},
"Top 5 Organic Results": {
"main": [
[
{
"node": "Has Results?",
"type": "main",
"index": 0
}
]
]
},
"Upload to Notion Page": {
"main": [
[
{
"node": "For Each Block...",
"type": "main",
"index": 0
}
],
[]
]
},
"DeepResearch Learnings": {
"main": [
[
{
"node": "Research Goal + Learnings",
"type": "main",
"index": 0
}
]
]
},
"Notion Block Generator": {
"main": [
[
{
"node": "Parse JSON blocks",
"type": "main",
"index": 0
}
]
]
},
"DeepResearch Subworkflow": {
"main": [
[
{
"node": "Execution Data",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Notion Block Generator",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "DeepResearch Learnings",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Research Goal + Learnings": {
"main": [
[
{
"node": "For Each Query...",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser1": {
"ai_outputParser": [
[
{
"node": "Clarifying Questions",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Structured Output Parser2": {
"ai_outputParser": [
[
{
"node": "Generate SERP Queries",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Structured Output Parser4": {
"ai_outputParser": [
[
{
"node": "Report Page Generator",
"type": "ai_outputParser",
"index": 0
}
]
]
}
}
}{
"meta": {
"instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "645ae2b1-799e-49be-8bdf-12cd1bb739e6",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1680,
1140
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"learnings\": {\n \"type\": \"array\",\n \"description\": \"List of learnings, max of 3.\",\n \"items\": { \"type\": \"string\" }\n },\n \"followUpQuestions\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\",\n \"description\": \"List of follow-up questions to research the topic further, max of 3.\"\n }\n }\n }\n}"
},
"typeVersion": 1.2
},
{
"id": "cbdb4e98-eeba-4609-91de-394c416b7904",
"name": "Set Variables",
"type": "n8n-nodes-base.set",
"position": [
-1360,
-460
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "df28b12e-7c20-4ff5-b5b8-dc773aa14d4b",
"name": "request_id",
"type": "string",
"value": "={{ $execution.id }}"
},
{
"id": "9362c1e7-717d-444a-8ea2-6b5f958c9f3f",
"name": "prompt",
"type": "string",
"value": "={{ $json['What would you like to research?'] }}"
},
{
"id": "09094be4-7844-4a9e-af82-cc8e39322398",
"name": "depth",
"type": "number",
"value": "={{ $json['Enter research depth (recommended 1-5, default 2)'] || 2 }}"
},
{
"id": "3fc30a30-7806-4013-835d-97e27ddd7ae1",
"name": "breadth",
"type": "number",
"value": "={{ $json['Enter research breadth (recommended 2-10, default 4)'] || 4 }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "c7096ab9-0b10-45b0-b178-a049bf57830b",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1500,
1140
],
"parameters": {
"model": {
"__rl": true,
"mode": "id",
"value": "o3-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8gccIjcuf3gvaoEr",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "d0f1bc2f-6a10-4ac7-8d35-34f48f14fad5",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-860,
1760
],
"parameters": {
"model": {
"__rl": true,
"mode": "id",
"value": "o3-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8gccIjcuf3gvaoEr",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "bba3278c-0336-4305-887d-56515dfd87db",
"name": "OpenAI Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-1060,
-300
],
"parameters": {
"model": {
"__rl": true,
"mode": "id",
"value": "o3-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8gccIjcuf3gvaoEr",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "f31f2fc7-0bec-4105-9d83-5f4f9a0eb35d",
"name": "Structured Output Parser1",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
-840,
-300
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"questions\": {\n \"type\": \"array\",\n \"description\": \"Follow up questions to clarify the research direction, max of 3.\",\n \"items\": {\n \"type\": \"string\"\n }\n }\n }\n}"
},
"typeVersion": 1.2
},
{
"id": "ea59c5ab-fa05-4c68-bc60-3f56e240478b",
"name": "On form submission",
"type": "n8n-nodes-base.formTrigger",
"position": [
-1760,
-460
],
"webhookId": "7ddfaa7c-a523-4d92-b033-d76cd5a313e9",
"parameters": {
"options": {
"path": "deep_research",
"ignoreBots": true,
"buttonLabel": "Next"
},
"formTitle": " DeepResearcher",
"formFields": {
"values": [
{
"fieldType": "html",
"fieldLabel": "placeholder"
}
]
},
"formDescription": "=DeepResearcher is a multi-step, recursive approach using the internet to solve complex research tasks, accomplishing in tens of minutes what a human would take many hours.\n\nTo use, provide a short summary of what the research and how \"deep\" you'd like the workflow to investigate. Note, the higher the numbers the more time and cost will occur for the research.\n\nThe workflow is designed to complete independently and when finished, a report will be saved in a designated Notion Database."
},
"typeVersion": 2.2
},
{
"id": "a8262288-a8c1-4967-9870-f728fa08b579",
"name": "Generate SERP Queries",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
-1040,
820
],
"parameters": {
"text": "=Given the following prompt from the user, generate a list of SERP queries to research the topic. Return a maximum of {{ $('JobType Router').first().json.data.breadth }} queries, but feel free to return less if the original prompt is clear. Make sure each query is unique and not similar to each other: \n This value determines how many sources to explore.\n
\n\nAnswer the following clarification questions to assist the DeepResearcher better under the research topic.\n
\n\n
\nTotal {{ $('Feedback to Items').all().length }} questions.\n
" }, "formFields": { "values": [ { "fieldType": "textarea", "fieldLabel": "={{ $json[\"output.questions\"] }}", "placeholder": "=", "requiredField": true } ] } }, "typeVersion": 1 }, { "id": "e07d8c3e-8bcd-4393-9892-f825433ab58d", "name": "For Each Question...", "type": "n8n-nodes-base.splitInBatches", "position": [ -540, -460 ], "parameters": { "options": {} }, "typeVersion": 3 }, { "id": "e8d26351-52f4-40a6-ba5b-fb6bc816b734", "name": "DeepResearch Subworkflow", "type": "n8n-nodes-base.executeWorkflowTrigger", "position": [ -1880, 820 ], "parameters": { "workflowInputs": { "values": [ { "name": "requestId", "type": "any" }, { "name": "jobType" }, { "name": "data", "type": "object" } ] } }, "typeVersion": 1.1 }, { "id": "25a8055a-27aa-414f-856b-25a2e2f31974", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -1140, -680 ], "parameters": { "color": 7, "width": 1000, "height": 560, "content": "## 2. Ask Clarifying Questions\n[Read more about form nodes](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.form/)\n\nTo handle the clarification questions generated by the LLM, I used the same technique found in my \"AI Interviewer\" template ([link](https://n8n.io/workflows/2566-conversational-interviews-with-ai-agents-and-n8n-forms/)).\nThis involves a looping of dynamically generated forms to collect answers from the user." }, "typeVersion": 1 }, { "id": "68398b92-eb35-48bf-885e-540074531cc4", "name": "Clarifying Questions", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ -1040, -460 ], "parameters": { "text": "=Given the following query from the user, ask some follow up questions to clarify the research direction. Return a maximum of 3 questions, but feel free to return less if the original query is clear:References
\n```\nwould convert to \n```\n{\"object\": \"block\", \"type\": \"heading_3\", \"heading_3\": { \"rich_text\": [{\"type\": \"text\",\"text\": {\"content\": \"References\"}}]}}\n```\n\n2. lists\n```\n- hello
- world
| Technology | Potential Impact |
|---|---|
| 5G Connectivity | Enables faster data speeds and advanced apps | \n
\nYour Report Is On Its Way!\n
\nDeepResearcher will now work independently to conduct the research and the compiled report will be uploaded to the following Notion page below when finished.\n
\nPlease click the \"Done\" button to complete the form.\n
" }, "formFields": { "values": [ { "html": "=\n
\n
\n",
"fieldType": "html",
"fieldLabel": "message"
}
]
}
},
"typeVersion": 1
},
{
"id": "97ba63b7-9248-4945-9c67-1ea114b20dc5",
"name": "Research Request",
"type": "n8n-nodes-base.form",
"position": [
-1560,
-460
],
"webhookId": "d4ea875f-83cb-49a8-8992-c08b4114c9bd",
"parameters": {
"options": {
"formTitle": "DeepResearcher",
"formDescription": "=\n \n
\n \n \n
\n{{ $json.name }}
\n \n {{ $json.property_description }}\n
\n \n \n \n \n \n \n \n \n \n
",
"fieldType": "html",
"fieldLabel": "Enter research depth (recommended 1-5, default 2)"
},
{
"html": "\n This value determines how many sub-queries to generate.\n
\n\n \n \n \n \n \n \n \n \n \n
\n\n",
"fieldType": "html",
"fieldLabel": "Enter research breadth (recommended 2-10, default 4)"
},
{
"fieldType": "dropdown",
"fieldLabel": "={{ \"\" }}",
"multiselect": true,
"fieldOptions": {
"values": [
{
"option": "=I understand higher depth and breath values I've selected may incur longer wait times and higher costs. I acknowledging this and wish to proceed with the research request."
}
]
},
"requiredField": true
}
]
}
},
"typeVersion": 1
},
{
"id": "b3d11997-9c8c-4b72-b750-4fc22a2247b7",
"name": "Valid Blocks",
"type": "n8n-nodes-base.filter",
"position": [
740,
1600
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "f68cefe0-e109-4d41-9aa3-043f3bc6c449",
"operator": {
"type": "string",
"operation": "notExists",
"singleValue": true
},
"leftValue": "={{ $json.error }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "ff90a1c1-b357-4012-8964-e007bef0c9db",
"name": "Sticky Note12",
"type": "n8n-nodes-base.stickyNote",
"position": [
620,
1400
],
"parameters": {
"color": 7,
"width": 580,
"height": 580,
"content": "## 12. Append URL Sources List\n[Read more about the Code node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code)\n\nFor our source URLs, we'll manually compose the Notion blocks for them - this is because there's usually a lot of them! We'll then append to the end of the other blocks."
},
"typeVersion": 1
},
{
"id": "f6b50f06-6122-494c-bdb8-4215f473a27d",
"name": "Append Blocks",
"type": "n8n-nodes-base.merge",
"position": [
1000,
1760
],
"parameters": {},
"typeVersion": 3
},
{
"id": "ca39272a-828e-4314-80da-05dd5fd7b2e3",
"name": "URL Sources to Lists",
"type": "n8n-nodes-base.code",
"position": [
740,
1760
],
"parameters": {
"jsCode": "const urls = $('JobType Router').first().json.data.all_urls;\nconst chunksize = 50;\nconst splits = Math.max(1, Math.floor(urls.length/chunksize));\n\nconst blocks = Array(splits).fill(0)\n .map((_, idx) => {\n const block = urls\n .slice(\n idx * chunksize, \n (idx * chunksize) + chunksize - 1\n )\n .map(url => {\n return {\n object: \"block\",\n type: \"bulleted_list_item\",\n bulleted_list_item: {\n rich_text: [\n { type: \"text\", text: { content: url } }\n ]\n }\n }\n });\n return { json: { block } }\n });\n\nreturn [\n { json: {\n block:[{\n \"object\": \"block\",\n \"type\": \"heading_2\",\n \"heading_2\": {\n \"rich_text\": [\n {\n \"type\": \"text\",\n \"text\": {\n \"content\": \"Sources\"\n }\n }\n ]\n }\n }]\n } },\n ...blocks\n];"
},
"typeVersion": 2
},
{
"id": "e2e2b07a-4039-4859-b60c-f51982475282",
"name": "Has Results?",
"type": "n8n-nodes-base.if",
"position": [
240,
980
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9ef8d40c-1289-4654-9022-4a07f7102555",
"operator": {
"type": "array",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json.results }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "5662dbf2-8877-4e83-982c-6bc5968b8835",
"name": "Empty Response",
"type": "n8n-nodes-base.set",
"position": [
1040,
1120
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "1de40158-338b-4db3-9e22-6fd63b21f825",
"name": "ResearchGoal",
"type": "string",
"value": "={{ $('Item Ref').first().json.researchGoal }}"
},
{
"id": "9f59a2d4-5e5a-4d0b-8adf-2832ce746f0f",
"name": "learnings",
"type": "array",
"value": "={{ [] }}"
},
{
"id": "972ab5f5-0537-4755-afcb-d1db4f09ad60",
"name": "followUpQuestions",
"type": "array",
"value": "={{ [] }}"
},
{
"id": "90cef471-76b0-465d-91a4-a0e256335cd3",
"name": "urls",
"type": "array",
"value": "={{ [] }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "678b6af5-da74-4421-8c3d-0166aa52efd9",
"name": "Has Content?",
"type": "n8n-nodes-base.if",
"position": [
880,
980
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "1ef1039a-4792-47f9-860b-d2ffcffd7129",
"operator": {
"type": "object",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "233f2e19-b4f2-4de3-8002-f79f3c01c1e7",
"name": "Sticky Note13",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1820,
-240
],
"parameters": {
"color": 5,
"width": 300,
"height": 100,
"content": "### Not using forms?\nFeel free ot swap this out for chat or even webhooks to fit your existing workflows."
},
"typeVersion": 1
},
{
"id": "453bb6eb-f2b0-4e21-b647-e095c80b7844",
"name": "Sticky Note14",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1880,
540
],
"parameters": {
"color": 5,
"width": 460,
"height": 240,
"content": "### 🚏 The Subworkflow Event Pattern \nIf you're new to n8n, this advanced technique might need some explaining but in gist, we're using subworkflows to run different parts of our DeepResearcher workflow as separate executions.\n\n* Necessary to implement the recursive loop mechanism needed to enable this workflow.\n* Negates the need to split this workflow into multiple templates.\n* Great generally for building high performance n8n workflows (a topic for a future post!)"
},
"typeVersion": 1
},
{
"id": "289cbe4c-c2e3-46b7-8799-197a7d78ab2a",
"name": "Sticky Note15",
"type": "n8n-nodes-base.stickyNote",
"position": [
720,
-60
],
"parameters": {
"color": 5,
"width": 340,
"height": 200,
"content": "### Recursive Looping\nThe recursive looping implemented for this workflow is an advanced item-linking technique. It works by specifically controlling which nodes \"execute once\" vs\" execute for each item\" because of this becareful of ermoving nodes! Always check the settings of the node you're replacing and ensure the settings match. "
},
"typeVersion": 1
},
{
"id": "b95ffdcd-c0d1-4a12-a7a9-24135db7b467",
"name": "Combine & Send back to Loop",
"type": "n8n-nodes-base.aggregate",
"position": [
-240,
820
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "f0a48ab5-70b9-49dc-a153-61e573803d1e",
"name": "For Each Block...",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1440,
1600
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "2fd17fbd-005d-446e-b014-0da190cd3114",
"name": "Sticky Note16",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2420,
-920
],
"parameters": {
"width": 520,
"height": 1060,
"content": "## n8n DeepResearcher\n### This template attempts to replicate OpenAI's DeepResearch feature which, at time of writing, is only available to their pro subscribers.\n\nThough the inner workings of DeepResearch have not been made public, it is presumed the feature relies on the ability to deep search the web, scrape web content and invoking reasoning models to generate reports. All of which n8n is really good at!\n\n### How it works\n* A form is used to first capture the user's research query and how deep they'd like the researcher to go.\n* Once submitted, a blank Notion page is created which will later hold the final report and the researcher gets to work.\n* The user's query goes through a recursive series of web serches and web scraping to collect data on the research topic to generate partial learnings.\n* Once complete, all learnings are combined and given to a reasoning LLM to generate the final report.\n* The report is then written to the placeholder Notion page created earlier. \n\n### How to use\n* Duplicate this Notion database to use with this template: https://jimleuk.notion.site/19486dd60c0c80da9cb7eb1468ea9afd?v=19486dd60c0c805c8e0c000ce8c87acf\n* Sign-up for [APIFY.com](https://www.apify.com?fpr=414q6) API Key for web search and scraping services.\n* Ensure you have access to OpenAI's o3-mini model. Alternatively, switch this out for o1 series.\n* You must publish this workflow and ensure the form url is publically accessible.\n\n### On Depth & Breadth Configuration\nFor more detailed reports, increase depth and breadth but be warned the workflow will take a exponentially more time and money to complete. The defaults are usually good enough.\n\nDepth=1 & Breadth=2 - will take about 10 - 15mins.\nDepth=1 & Breadth=4 - will take about 30 - 40mins.\nDpeth=3 & Breadth=5 - will take about 2 - 5 hours!\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!"
},
"typeVersion": 1
},
{
"id": "ac6f2604-7439-4524-a27e-2f031ebce089",
"name": "Sticky Note17",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2420,
-1180
],
"parameters": {
"color": 7,
"width": 520,
"height": 240,
"content": ""
},
"typeVersion": 1
},
{
"id": "40e3a0cf-7710-4537-b147-37ba8945fdbc",
"name": "Sticky Note18",
"type": "n8n-nodes-base.stickyNote",
"position": [
-120,
960
],
"parameters": {
"width": 180,
"height": 260,
"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n### UPDATE APIFY CREDENTIAL HERE!"
},
"typeVersion": 1
},
{
"id": "5a96ecc2-eeea-4c33-b299-7a7f2ca7559c",
"name": "Sticky Note19",
"type": "n8n-nodes-base.stickyNote",
"position": [
520,
960
],
"parameters": {
"width": 180,
"height": 260,
"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n### UPDATE APIFY CREDENTIAL HERE!"
},
"typeVersion": 1
},
{
"id": "23bca6e2-e16a-48a4-a7fc-96ce25846764",
"name": "Sticky Note20",
"type": "n8n-nodes-base.stickyNote",
"position": [
1640,
1740
],
"parameters": {
"width": 180,
"height": 260,
"content": "\n\n\n\n\n\n\n\n\n\n\n\n### UPDATE NOTION CREDENTIAL HERE!"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"Item Ref": {
"main": [
[
{
"node": "Web Search",
"type": "main",
"index": 0
}
]
]
},
"Create Row": {
"main": [
[
{
"node": "Initiate DeepResearch",
"type": "main",
"index": 0
}
]
]
},
"Web Search": {
"main": [
[
{
"node": "Top 5 Organic Results",
"type": "main",
"index": 0
}
]
]
},
"Valid Pages": {
"main": [
[
{
"node": "Has Content?",
"type": "main",
"index": 0
}
]
]
},
"Confirmation": {
"main": [
[
{
"node": "End Form",
"type": "main",
"index": 0
}
]
]
},
"Has Content?": {
"main": [
[
{
"node": "Convert to Markdown",
"type": "main",
"index": 0
}
],
[
{
"node": "Empty Response",
"type": "main",
"index": 0
}
]
]
},
"Has Results?": {
"main": [
[
{
"node": "URLs to Items",
"type": "main",
"index": 0
}
],
[
{
"node": "Empty Response",
"type": "main",
"index": 0
}
]
]
},
"Valid Blocks": {
"main": [
[
{
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"type": "main",
"index": 0
}
]
]
},
"Append Blocks": {
"main": [
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{
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"type": "main",
"index": 0
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]
]
},
"HTML to Array": {
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{
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]
},
"Page Contents": {
"main": [
[
{
"node": "Valid Pages",
"type": "main",
"index": 0
}
],
[]
]
},
"SERP to Items": {
"main": [
[
{
"node": "For Each Query...",
"type": "main",
"index": 0
}
]
]
},
"Set Variables": {
"main": [
[
{
"node": "Clarifying Questions",
"type": "main",
"index": 0
}
]
]
},
"Tags to Items": {
"main": [
[
{
"node": "Notion Block Generator",
"type": "main",
"index": 0
}
]
]
},
"URLs to Items": {
"main": [
[
{
"node": "Page Contents",
"type": "main",
"index": 0
}
]
]
},
"Empty Response": {
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[
{
"node": "For Each Query...",
"type": "main",
"index": 0
}
]
]
},
"Execution Data": {
"main": [
[
{
"node": "JobType Router",
"type": "main",
"index": 0
}
]
]
},
"JobType Router": {
"main": [
[
{
"node": "Get Existing Row",
"type": "main",
"index": 0
}
],
[
{
"node": "Generate SERP Queries",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Existing Row1",
"type": "main",
"index": 0
}
]
]
},
"Convert to HTML": {
"main": [
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{
"node": "HTML to Array",
"type": "main",
"index": 0
}
]
]
},
"Set In-Progress": {
"main": [
[
{
"node": "Set Initial Query",
"type": "main",
"index": 0
}
]
]
},
"Get Existing Row": {
"main": [
[
{
"node": "Set In-Progress",
"type": "main",
"index": 0
}
]
]
},
"Research Request": {
"main": [
[
{
"node": "Set Variables",
"type": "main",
"index": 0
}
]
]
},
"Results to Items": {
"main": [
[
{
"node": "Set Next Queries",
"type": "main",
"index": 0
}
]
]
},
"Set Next Queries": {
"main": [
[
{
"node": "Generate Learnings",
"type": "main",
"index": 0
}
]
]
},
"Feedback to Items": {
"main": [
[
{
"node": "For Each Question...",
"type": "main",
"index": 0
}
]
]
},
"For Each Block...": {
"main": [
[
{
"node": "Set Done",
"type": "main",
"index": 0
}
],
[
{
"node": "Upload to Notion Page",
"type": "main",
"index": 0
}
]
]
},
"For Each Query...": {
"main": [
[
{
"node": "Combine & Send back to Loop",
"type": "main",
"index": 0
}
],
[
{
"node": "Item Ref",
"type": "main",
"index": 0
}
]
]
},
"Get Existing Row1": {
"main": [
[
{
"node": "DeepResearch Report",
"type": "main",
"index": 0
}
]
]
},
"Get Initial Query": {
"main": [
[
{
"node": "Report Page Generator",
"type": "main",
"index": 0
}
]
]
},
"Is Depth Reached?": {
"main": [
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{
"node": "Get Research Results",
"type": "main",
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}
],
[
{
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"type": "main",
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}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
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]
]
},
"Parse JSON blocks": {
"main": [
[
{
"node": "Valid Blocks",
"type": "main",
"index": 0
},
{
"node": "URL Sources to Lists",
"type": "main",
"index": 0
}
]
]
},
"Set Initial Query": {
"main": [
[
{
"node": "Generate Learnings",
"type": "main",
"index": 0
}
]
]
},
"Accumulate Results": {
"main": [
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{
"node": "Is Depth Reached?",
"type": "main",
"index": 0
}
]
]
},
"Generate Learnings": {
"main": [
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{
"node": "Accumulate Results",
"type": "main",
"index": 0
}
]
]
},
"On form submission": {
"main": [
[
{
"node": "Research Request",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "DeepResearch Report",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model2": {
"ai_languageModel": [
[
{
"node": "Clarifying Questions",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model3": {
"ai_languageModel": [
[
{
"node": "Generate SERP Queries",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model4": {
"ai_languageModel": [
[
{
"node": "Report Page Generator",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Convert to Markdown": {
"main": [
[
{
"node": "DeepResearch Learnings",
"type": "main",
"index": 0
}
]
]
},
"DeepResearch Report": {
"main": [
[
{
"node": "Convert to HTML",
"type": "main",
"index": 0
}
]
]
},
"Clarifying Questions": {
"main": [
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{
"node": "Feedback to Items",
"type": "main",
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},
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"node": "Results to Items",
"type": "main",
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]
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},
"For Each Question...": {
"main": [
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{
"node": "Get Initial Query",
"type": "main",
"index": 0
}
],
[
{
"node": "Ask Clarity Questions",
"type": "main",
"index": 0
}
]
]
},
"Get Research Results": {
"main": [
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{
"node": "Generate Report",
"type": "main",
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}
]
]
},
"URL Sources to Lists": {
"main": [
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{
"node": "Append Blocks",
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}
]
]
},
"Ask Clarity Questions": {
"main": [
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{
"node": "For Each Question...",
"type": "main",
"index": 0
}
]
]
},
"Generate SERP Queries": {
"main": [
[
{
"node": "SERP to Items",
"type": "main",
"index": 0
}
]
]
},
"Initiate DeepResearch": {
"main": [
[
{
"node": "Confirmation",
"type": "main",
"index": 0
}
]
]
},
"Report Page Generator": {
"main": [
[
{
"node": "Create Row",
"type": "main",
"index": 0
}
]
]
},
"Top 5 Organic Results": {
"main": [
[
{
"node": "Has Results?",
"type": "main",
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}
]
]
},
"Upload to Notion Page": {
"main": [
[
{
"node": "For Each Block...",
"type": "main",
"index": 0
}
],
[]
]
},
"DeepResearch Learnings": {
"main": [
[
{
"node": "Research Goal + Learnings",
"type": "main",
"index": 0
}
]
]
},
"Notion Block Generator": {
"main": [
[
{
"node": "Parse JSON blocks",
"type": "main",
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}
]
]
},
"DeepResearch Subworkflow": {
"main": [
[
{
"node": "Execution Data",
"type": "main",
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}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Notion Block Generator",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "DeepResearch Learnings",
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]
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},
"Research Goal + Learnings": {
"main": [
[
{
"node": "For Each Query...",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser1": {
"ai_outputParser": [
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{
"node": "Clarifying Questions",
"type": "ai_outputParser",
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}
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},
"Structured Output Parser2": {
"ai_outputParser": [
[
{
"node": "Generate SERP Queries",
"type": "ai_outputParser",
"index": 0
}
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]
},
"Structured Output Parser4": {
"ai_outputParser": [
[
{
"node": "Report Page Generator",
"type": "ai_outputParser",
"index": 0
}
]
]
}
}
}
================================================
FILE: AI_Research_RAG_and_Data_Analysis/Intelligent Web Query and Semantic Re-Ranking Flow using Brave and Google Gemini.json
================================================
{
"id": "wa2uEnSIowqSrHoY",
"meta": {
"instanceId": "cca06617664f52c5a019ea575691fdbce675dd95dc0452af5f13dbe76d615b69"
},
"name": "Intelligent Web Query and Semantic Re-Ranking Flow",
"tags": [],
"nodes": [
{
"id": "8e7dc5cb-6822-4ef6-9e5a-2b350a1526bf",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-640,
-620
],
"parameters": {
"color": 5,
"width": 1172,
"height": 970,
"content": "\n## Step 1. Set Up a Free Brave Web Search Query API Key\n\nTo attain the free web search API tier from Brave, follow these steps:\n\n1. Visit api.search.brave.com\n2. Create an account\n3. Subscribe to the free plan (no charge)\n4. Navigate to the API Keys section\n5. Generate an API key. For the subscription type, choose \"Free\".\n6. Go to the \"Query\" Nodes and change the \"X-Subscription-Token\" value to your API Key.\n"
},
"typeVersion": 1
},
{
"id": "5bb3e68f-7693-4d4b-b794-843f2c3535e0",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1580,
-420
],
"parameters": {
"color": 4,
"width": 680,
"height": 360,
"content": "## If you require to change this Node to Webhook Or any Other Item:\n\n- In case you want to change the input type from Webhook to any other item, Make sure to go to the Query 1 and Query 1 Ranker and replace the Webhook Input to your Node's input."
},
"typeVersion": 1
},
{
"id": "f2fc02f9-a78a-4e87-be85-0032492a9f3f",
"name": "Date & Time",
"type": "n8n-nodes-base.dateTime",
"position": [
-820,
-240
],
"parameters": {
"options": {}
},
"typeVersion": 2
},
{
"id": "6f18ebbd-83db-4900-bc2e-0a9f23d6e8c8",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
-1340,
-240
],
"webhookId": "962f1468-c80f-4c0c-8555-a0acf648ede4",
"parameters": {
"path": "962f1468-c80f-4c0c-8555-a0acf648ede4",
"options": {},
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "ba5ea83e-1b47-475b-863f-269ae293729a",
"name": "Auto-fixing Output Parser6",
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"position": [
180,
-140
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "ca426b6d-5412-4c5b-a55c-009a47c59a81",
"name": "Auto-fixing Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"position": [
-580,
-140
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "501d5390-5317-4973-a3e9-b0f502399c2b",
"name": "Structured Output Parser1",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
-460,
-60
],
"parameters": {
"jsonSchemaExample": "{\n \"reasoning_summary\": \"Detailed explanation of each analytical chain’s purpose and insights, including key terms and considerations for query formulation.\",\n \"final_search_query\": \"The single, best-fit search query derived from the meta-reasoning and multi-chain analysis, optimized to answer the research question.\"\n}"
},
"typeVersion": 1.2
},
{
"id": "a27e75c7-0307-4d71-9266-5a56b297a6e3",
"name": "Query-1 Combined",
"type": "n8n-nodes-base.code",
"position": [
-80,
-240
],
"parameters": {
"jsCode": "// Initialize an empty string to store all title, url, and description pairs\nlet aggregatedOutputText = \"\";\n\n// Loop through all items passed to this Function node\nfor (let item of items) {\n // Access the JSON data from \"Query 1\" node for the current item\n const queryData = item.json;\n\n // Ensure there is a \"web.results\" array to process\n if (queryData.web?.results && Array.isArray(queryData.web.results)) {\n // Loop through all results in the \"web.results\" array\n for (let result of queryData.web.results) {\n // Extract the title, url, and description for each result\n const title = result.title || \"No Title\";\n const url = result.url || \"No URL\";\n const description = result.description || \"No Description\";\n\n // Append the values to the aggregated string\n aggregatedOutputText += `Title: ${title}\\nURL: ${url}\\nDescription: ${description}\\n\\n`;\n }\n } else {\n // If no results array, handle gracefully\n aggregatedOutputText += \"No results found for this item.\\n\\n\";\n }\n}\n\n// Trim the final string to remove any trailing newline and whitespace\naggregatedOutputText = aggregatedOutputText.trim();\n\n// Return a single item containing the aggregated output as a string\nreturn [\n {\n json: {\n aggregated_text: aggregatedOutputText\n }\n }\n];\n"
},
"typeVersion": 2
},
{
"id": "acbdbe94-b5a7-4ec9-9fc8-c3ab147f42fa",
"name": "Respond to Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
640,
-240
],
"parameters": {
"options": {},
"respondWith": "text",
"responseBody": "={\n \"Highest_RANKEDURL_1\": {\n \"title\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_1']['title'] }}\",\n \"link\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_1']['link'] }}\",\n \"description\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_1']['description'] }}\"\n },\n \"Highest_RANKEDURL_2\": {\n \"title\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_2']['title'] }}\",\n \"link\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_2']['link'] }}\",\n \"description\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_2']['description'] }}\"\n },\n \"Highest_RANKEDURL_3\": {\n \"title\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_3']['title'] }}\",\n \"link\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_3']['link'] }}\",\n \"description\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_3']['description'] }}\"\n },\n \"Highest_RANKEDURL_4\": {\n \"title\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_4']['title'] }}\",\n \"link\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_4']['link'] }}\",\n \"description\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_4']['description'] }}\"\n },\n \"Highest_RANKEDURL_5\": {\n \"title\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_5']['title'] }}\",\n \"link\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_5']['link'] }}\",\n \"description\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_5']['description'] }}\"\n },\n \"Highest_RANKEDURL_6\": {\n \"title\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_6']['title'] }}\",\n \"link\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_6']['link'] }}\",\n \"description\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_6']['description'] }}\"\n },\n \"Highest_RANKEDURL_7\": {\n \"title\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_7']['title'] }}\",\n \"link\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_7']['link'] }}\",\n \"description\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_7']['description'] }}\"\n },\n \"Highest_RANKEDURL_8\": {\n \"title\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_8']['title'] }}\",\n \"link\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_8']['link'] }}\",\n \"description\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_8']['description'] }}\"\n },\n \"Highest_RANKEDURL_9\": {\n \"title\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_9']['title'] }}\",\n \"link\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_9']['link'] }}\",\n \"description\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_9']['description'] }}\"\n },\n \"Highest_RANKEDURL_10\": {\n \"title\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_10']['title'] }}\",\n \"link\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_10']['link'] }}\",\n \"description\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_10']['description'] }}\"\n },\n \"Information_extracted\": \"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Information_extracted'] }}\"\n}\n"
},
"typeVersion": 1.1
},
{
"id": "b8b6ae73-586a-406f-9641-57e2625f800c",
"name": "Semantic Search - Result Re-Ranker",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"onError": "continueRegularOutput",
"position": [
100,
-240
],
"parameters": {
"text": "=\n**Objective:**\n\nFor the user's query, web search results are provided. Your tasks are:\n\n1. **Rank the links** based on how well they match the user's query.\n2. **Extract relevant information** from the descriptions provided. If no relevant information is found, return \"N/A\".\n\n---\n\n**Task:**\n\n**Step 1: Understand the User's Intent**\n\n- Determine what the user is truly and technically looking for.\n- The user's request query is: \"{{ $('Webhook').item.json.query['Research Question'] }}\"\n- The serach results below, however their performance seem, have been based on this query \"{{ $item(\"0\").$node[\"Semantic Search -Query Maker\"].json[\"output\"][\"final_search_query\"] }}\". If the result are not satisfactory or missing due to bad query making, you should note that as well for the neww query making.\n- To nesure being time aware , realize todays date is: \"{{ $item(\"0\").$node[\"Date & Time\"].json[\"currentDate\"] }}\"\n\n- Follow a three-step chain of thought to comprehend the user's needs. Think out loud.\n\n---\n\n**Step 2: Rank the Links**\n\n- From the URLs and description snippets provided, **rank the top 10 websites** that are most likely to contain the required information.\n- Use the titles, descriptions, and sources to inform your ranking.\n\n**Links, Titles, and Descriptions:**\n\n{{ $json.aggregated_text }}\n\n---\n\nThis list completes the structure up to 20 results as you requested. Let me know if there’s anything more you need!\n\n---\n\n**Step 3: Analyze and Create a Follow-up Query**\n\n- Recognize that for the user's request:\n\n `\"{{ $('Webhook').item.json.query['Research Question'] }}\"`\n\n The results provided are based on the assistant's generated search query:\n\n `\"{{ $item(\"0\").$node[\"Semantic Search -Query Maker\"].json[\"output\"][\"final_search_query\"] }}\"`\n\n- Analyze and revise any issues or new insights through multi-step thinking to create a follow-up query.\n\n**Indications and Priorities:**\n\n1. **No Results Received:** If no search items are shared, the search query may have been ineffective (e.g., too specific, incorrect parameters).\n2. **Insufficient or Unpromising Results:** If fewer than 20 but more than 5 results are provided, and none seem promising, the search query may need refinement.\n3. **Successful Results with Potential Follow-up:** If none of the above issues occurred and the search results provide answers or suggest a follow-up, create a new query. This could be a new topic, a deep dive, or a parallel factor that offers additional benefits.\n\n- Provide your chain of thought that connects the user's request to the actual information.\n\n- Deliver precise, detailed, and value-oriented information relevant to the user's query.\n\n**Step 4: Query making notes and examples**: \n\nThe queries must not be long tails , as they result in 0 websearch reutrns. We give you some examples of good web search queries:\nExamples:\n\nUser Question: \"What is the current state of the U.S. economy in 2024?\"\nEffective Search Query: \"U.S. Economy Analysis Report 2024\"\n\nUser Question: \"What are the recent advancements in artificial intelligence?\"\nEffective Search Query: \"2024 Artificial Intelligence Developments\"\n\nUser Question: \"How is climate change affecting agriculture globally?\"\nEffective Search Query: \"Global Impact of Climate Change on Agriculture 2024\"\n\nUser Question: \"What are the latest trends in cybersecurity threats?\"\nEffective Search Query: \"Cybersecurity Threats and Trends 2024\"\n\nUser Question: \"What is the outlook for renewable energy investments?\"\nEffective Search Query: \"Renewable Energy Investment Outlook 2024\"\n\n**Step 5: Query making*: \nor query making remember as we said:\n - **Today's Date:** \"{{ $item(\"0\").$node[\"Date & Time\"].json[\"currentDate\"] }}\"\n **Search Inquiry:** \n - **Search Topic to create the query upon it:**{{ $item(\"0\").$node[\"Webhook\"].json[\"query\"][\"Research Question\"] }}\"\"\n\n\n---\n\n**Step 6: Output Format**\n\nEnsure the response is in the following JSON format:\n\n{\n \"chain_of_thought\": \"Insert your step-by-step reasoning here.\",\n \"Highest_RANKEDURL_1\": {\n \"title\": \"Insert the First Ranked URL's Title here.\",\n \"link\": \"Insert the First Ranked URL here.\",\n \"description\": \"Insert the First Ranked URL's Description here.\"\n },\n \"Highest_RANKEDURL_2\": {\n \"title\": \"Insert the Second Ranked URL's Title here.\",\n \"link\": \"Insert the Second Ranked URL here.\",\n \"description\": \"Insert the Second Ranked URL's Description here.\"\n },\n \"Highest_RANKEDURL_3\": {\n \"title\": \"Insert the Third Ranked URL's Title here.\",\n \"link\": \"Insert the Third Ranked URL here.\",\n \"description\": \"Insert the Third Ranked URL's Description here.\"\n },\n \"Highest_RANKEDURL_4\": {\n \"title\": \"Insert the Fourth Ranked URL's Title here.\",\n \"link\": \"Insert the Fourth Ranked URL here.\",\n \"description\": \"Insert the Fourth Ranked URL's Description here.\"\n },\n \"Highest_RANKEDURL_5\": {\n \"title\": \"Insert the Fifth Ranked URL's Title here.\",\n \"link\": \"Insert the Fifth Ranked URL here.\",\n \"description\": \"Insert the Fifth Ranked URL's Description here.\"\n },\n \"Highest_RANKEDURL_6\": {\n \"title\": \"Insert the Sixth Ranked URL's Title here.\",\n \"link\": \"Insert the Sixth Ranked URL here.\",\n \"description\": \"Insert the Sixth Ranked URL's Description here.\"\n },\n \"Highest_RANKEDURL_7\": {\n \"title\": \"Insert the Seventh Ranked URL's Title here.\",\n \"link\": \"Insert the Seventh Ranked URL here.\",\n \"description\": \"Insert the Seventh Ranked URL's Description here.\"\n },\n \"Highest_RANKEDURL_8\": {\n \"title\": \"Insert the Eighth Ranked URL's Title here.\",\n \"link\": \"Insert the Eighth Ranked URL here.\",\n \"description\": \"Insert the Eighth Ranked URL's Description here.\"\n },\n \"Highest_RANKEDURL_9\": {\n \"title\": \"Insert the Ninth Ranked URL's Title here.\",\n \"link\": \"Insert the Ninth Ranked URL here.\",\n \"description\": \"Insert the Ninth Ranked URL's Description here.\"\n },\n \"Highest_RANKEDURL_10\": {\n \"title\": \"Insert the Tenth Ranked URL's Title here.\",\n \"link\": \"Insert the Tenth Ranked URL here.\",\n \"description\": \"Insert the Tenth Ranked URL's Description here.\"\n },\n \"Information_extracted\": \"Insert all extracted information relevant to the user's query or 'N/A' if none.\"\n}\n",
"messages": {
"messageValues": [
{
"message": "=\nYou are an expert information retrieval and critical evaluation assistant designed to process, rank, and extract high-relevance content from web search results for complex user queries. You must provide value-oriented insights while refining searches based on relevance and context sensitivity. \n\n**Your Process and Priorities:**\n\n#### 1. **Determine the User's Technical Intent**\n - Interpret the user's core question provided as `{{ $item(\"0\").$node[\"Webhook\"].json[\"query\"][\"Research Question\"] }}`, discerning underlying objectives and specialized needs.\n - Recognize that the search results may have been generated from a **secondary query**: `{{ $item(\"0\").$node[\"Semantic Search -Query Maker\"].json[\"output\"][\"final_search_query\"] }}`. \n - Judge the adequacy of this generated query. If it does not meet the user’s objectives, highlight the need for query refinement and prepare to adapt the approach.\n - Stay mindful of the date context, using `{{ $item(\"0\").$node[\"Date & Time\"].json[\"currentDate\"] }}` to assess the freshness of content or time-sensitive relevance.\n\n#### 2. **Rank Results Based on Analytical Relevance**\n - From the search results provided, **rank the top 3 URLs** that most closely align with the user’s intent and technical needs.\n - Use multi-dimensional analysis to assess how each link’s title, description, and source match the user’s objective.\n - Prioritize results based on credibility, relevance, and their potential to add depth to the user’s inquiry.\n - Your goal is to select the highest-value links, disregarding results that offer superficial, off-topic, or outdated information.\n\n#### 3. **Extract Key Information**\n - For each of the top 3 ranked results, extract insights and details from the description snippets that directly address the user’s query.\n - If no pertinent information is available in a description, record `\"N/A\"` to indicate its lack of relevance.\n\n#### 4. **Evaluate for Potential Query Improvement**\n - Evaluate the relevance and coverage of search results:\n - If fewer than 5 relevant results are present, consider that the initial query may be too narrow, specific, or otherwise misaligned.\n - Generate a **refined query** that is adjusted to better match the user’s likely needs and produce higher-quality results.\n - Use advanced language modifications, new keyword suggestions, or rephrasing to formulate a search query that enhances alignment with the user’s goals.\n"
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"retryOnFail": true,
"typeVersion": 1.4
},
{
"id": "a1ca671d-0b0c-4717-9def-93fdb965de8d",
"name": "Query",
"type": "n8n-nodes-base.httpRequest",
"position": [
-240,
-240
],
"parameters": {
"url": "https://api.search.brave.com/res/v1/web/search",
"options": {},
"sendQuery": true,
"sendHeaders": true,
"queryParameters": {
"parameters": [
{
"name": "q",
"value": "={{ $json.output.final_search_query }}"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/json"
},
{
"name": "Accept-Encoding",
"value": "gzip"
},
{
"name": "X-Subscription-Token",
"value": "\n This value determines how many sources to explore.\n
\n\n
\n\n\n\n\n-------\n\nRequirements:\n- Output must be a single line of HTML\n- Enhanced with modern Tailwind CSS styling\n- Proper HTML list structures\n- Responsive design\n- No newlines except in content\n- No markdown formatting\n- Clean, readable layout\n- Properly formatted hashtags\n- No explanation or additional text in output\n- No code block markers or escape characters\n- Wnsure Metadata, Title and Content are included in HTML\n\nMetadata: {{ $('Article').item.json.article.metadata.toJsonString() }}\nTitle: {{ $json.title }}\nContent: {{ $json.html }}\n",
"promptType": "define"
},
"typeVersion": 1.4
},
{
"id": "cddd9324-8471-4dcb-a46b-836015db9833",
"name": "Do Nothing1",
"type": "n8n-nodes-base.noOp",
"position": [
560,
1080
],
"parameters": {},
"typeVersion": 1
},
{
"id": "432a0ae9-451a-4830-b065-8b0593de92ea",
"name": "gpt-4o-mini3",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1020,
1040
],
"parameters": {
"options": {
"topP": 1,
"timeout": 60000,
"maxTokens": -1,
"maxRetries": 2,
"temperature": 0,
"responseFormat": "text",
"presencePenalty": 0,
"frequencyPenalty": 0
}
},
"credentials": {
"openAiApi": {
"id": "h597GY4ZJQD47RQd",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "55e00886-b6c1-4f7a-81ae-e8e0d4102cab",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
2200,
1360
],
"parameters": {
"color": 6,
"width": 531,
"height": 465,
"content": "## Create HTML Page with TailwindCSS Styling"
},
"typeVersion": 1
},
{
"id": "1ed7f754-1279-4511-a085-6ed4e4c36de1",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
320,
760
],
"parameters": {
"width": 450.54438902818094,
"height": 489.5271576259337,
"content": "## Parse Topic from Get Request"
},
"typeVersion": 1
},
{
"id": "e9dcb568-7f8d-40c5-94cb-6f25386436cf",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
820,
760
],
"parameters": {
"color": 5,
"width": 380,
"height": 488,
"content": "## Improve the Users Topic"
},
"typeVersion": 1
},
{
"id": "a7fdaddb-d6fc-4d45-85cc-a372cfb90327",
"name": "If2",
"type": "n8n-nodes-base.if",
"position": [
2120,
1140
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "8e35de0a-ac16-4555-94f4-24e97bdf4b33",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "{{ $json.output }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "57d056b8-7e91-41e4-8b74-dce15847a09b",
"name": "Prompts",
"type": "n8n-nodes-base.set",
"position": [
1300,
2080
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "efbe7563-8502-407e-bfa0-a4a26d8cddd4",
"name": "user",
"type": "string",
"value": "={{ $('Execute Workflow Trigger').item.json.topic }}"
},
{
"id": "05e0b629-bb9f-4010-96a8-10872764705a",
"name": "system",
"type": "string",
"value": "Assistant is a large language model. Assistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand. Assistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics. Overall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist. "
}
]
}
},
"typeVersion": 3.4
},
{
"id": "8209cece-fde4-485f-81a1-2d24a6eac474",
"name": "Execute Workflow Trigger",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
420,
2180
],
"parameters": {},
"typeVersion": 1
},
{
"id": "445e4d15-c2b0-4152-a0f8-d6b93ad5bae6",
"name": "Telegram2",
"type": "n8n-nodes-base.telegram",
"position": [
860,
2180
],
"parameters": {
"text": "={{ $('Execute Workflow Trigger').item.json.topic }}",
"chatId": "={{ $json.telegram_chat_id }}",
"additionalFields": {
"parse_mode": "HTML",
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"id": "BIE64nzfpGeesXUn",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "57a5b3ce-5490-4d50-91cc-c36e508eee4d",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
1080,
2180
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "7e2679dc-c898-415d-a693-c2c1e7259b6a",
"operator": {
"type": "string",
"operation": "notContains"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.topic }}",
"rightValue": "undefined"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "fdf827dc-96b1-4ed3-895b-2a0f5f4c41a3",
"name": "No Operation, do nothing",
"type": "n8n-nodes-base.noOp",
"position": [
1300,
2300
],
"parameters": {},
"typeVersion": 1
},
{
"id": "944aa564-f449-47a6-9d9c-c20a48946ab6",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
320,
1940
],
"parameters": {
"color": 5,
"width": 1614,
"height": 623,
"content": "## 🛠️perplexity_research_tool\n\n"
},
"typeVersion": 1
},
{
"id": "3806c079-8c08-48b7-a3ed-a26f6d86c67f",
"name": "Perplexity Topic Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1580,
860
],
"parameters": {
"text": "=Topic: {{ $json.text }}",
"options": {
"systemMessage": "Use the perplexity_research_tool to provide research on the users topic.\n\n"
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.6
},
{
"id": "cfc55dbb-78e6-47ef-bf55-810311bd37e8",
"name": "Call Perplexity Researcher",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
1780,
1040
],
"parameters": {
"name": "perplexity_research_tool",
"fields": {
"values": [
{
"name": "topic",
"stringValue": "= {{ $json.text }}"
}
]
},
"workflowId": {
"__rl": true,
"mode": "id",
"value": "HnqGW0eq5asKfZxf"
},
"description": "Call this tool to perform Perplexity research.",
"jsonSchemaExample": "{\n \"topic\": \"\"\n}"
},
"typeVersion": 1.2
},
{
"id": "5ca35a40-506d-4768-a65c-a331718040bc",
"name": "Do Nothing",
"type": "n8n-nodes-base.noOp",
"position": [
2320,
1140
],
"parameters": {},
"typeVersion": 1
},
{
"id": "17028837-4706-43f3-8291-f150860caa4c",
"name": "Do Nothing2",
"type": "n8n-nodes-base.noOp",
"position": [
1020,
1700
],
"parameters": {},
"typeVersion": 1
},
{
"id": "adebf1ad-62d9-4b79-b9a1-4a9395067803",
"name": "Do Nothing3",
"type": "n8n-nodes-base.noOp",
"position": [
2000,
1700
],
"parameters": {},
"typeVersion": 1
},
{
"id": "fe19e472-3b2b-4c07-b957-fb2afc426998",
"name": "Do Nothing4",
"type": "n8n-nodes-base.noOp",
"position": [
1260,
1080
],
"parameters": {},
"typeVersion": 1
},
{
"id": "41e23462-a7fa-42a8-adbc-83a662f63f0c",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
1460,
760
],
"parameters": {
"color": 3,
"width": 480,
"height": 488,
"content": "## 🤖Perform Perplexity Research"
},
"typeVersion": 1
},
{
"id": "dcc3bd83-1f8c-4000-a832-c2c6e7c157ba",
"name": "Get Topic",
"type": "n8n-nodes-base.set",
"position": [
380,
860
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "57f0eab2-ef1b-408c-82d5-a8c54c4084a6",
"name": "topic",
"type": "string",
"value": "={{ $json.query.topic }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5572e5b1-0b4c-4e6d-b413-5592aab59571",
"name": "If Topic Exists",
"type": "n8n-nodes-base.if",
"position": [
560,
860
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "2c565aa5-0d11-47fb-8621-6db592579fa8",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json.topic }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "509ee61f-defb-41e8-84cf-70ac5a7448d0",
"name": "Improve Users Topic",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
880,
860
],
"parameters": {
"text": "=How would you improve the following prompt as of {{ $now }}, focusing on:\n\n1. Key Concepts & Definitions\n - Main terminology and foundational concepts\n - Technical background and context\n\n2. Core Components\n - Essential elements and their relationships\n - Critical processes and workflows\n\n3. Practical Applications\n - Real-world use cases\n - Implementation considerations\n\n4. Analysis & Insights\n - Advantages and limitations\n - Best practices and recommendations\n\nThe final output should be a maximum 2 sentence pure text prompt without any preamble or further explanation. The final output will be providced to Perplexity as a research prompt.\n\nPrompt to analyze: {{ $json.topic }}",
"promptType": "define"
},
"typeVersion": 1.4
},
{
"id": "69ee4c6a-f6ef-47a2-bd5c-ccaf49ec7c94",
"name": "If Topic",
"type": "n8n-nodes-base.if",
"position": [
1260,
860
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "329653d4-330f-4b41-96e7-4652c1448902",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json.text }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "daa3027b-774d-44b1-b0a5-27008768c65d",
"name": "Chat Id",
"type": "n8n-nodes-base.set",
"position": [
2120,
880
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "0aa8fcc9-26f4-485c-8fc1-a5c13d0dd279",
"name": "telegram_chat_id",
"type": "number",
"value": 1234567890
}
]
}
},
"typeVersion": 3.4
},
{
"id": "97f32ad1-f91e-4ccc-8248-d10da823b26a",
"name": "Article",
"type": "n8n-nodes-base.set",
"position": [
780,
1480
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "0eb5952b-c133-4b63-8102-d4b8ec7b9b5a",
"name": "article",
"type": "object",
"value": "={{ $json.output.article }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "e223dee3-c79f-421d-b2b8-2f3551a45f71",
"name": "Extract JSON",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
440,
1480
],
"parameters": {
"text": "=Extract a JSON object from this content: {{ $json.output }}",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"retryOnFail": true,
"typeVersion": 1.6
},
{
"id": "de8aafb6-b05d-4278-8719-9b3c266fcf3a",
"name": "If Article",
"type": "n8n-nodes-base.if",
"position": [
1020,
1480
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "329653d4-330f-4b41-96e7-4652c1448902",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "{{ $json.article }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "f9450b58-3b81-4b61-8cbf-2cdf5a2f56a0",
"name": "Create HTML Article",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1360,
1480
],
"parameters": {
"text": "=Convert this verbatim into HTML: {{ $json.article.toJsonString() }}\n\n## Formatting Guidelines\n- HTML document must be single line document without tabs or line breaks\n- Use proper HTML tags throughout\n- Do not use these tags: \n\t\n\n\t\n\t\t\n
\n \n
\n \n \n \n DeepSeek V3 employs a Mixture-of-Experts architecture for efficient processing.\n \n \n \n DeepSeek V3 democratizes AI access for smaller organizations.\n \n \n \n DeepSeek V3 processes information at 60 tokens per second.\n \n \n \n Deployment of DeepSeek V3 may be complex for small companies.\n \n \n \n Engage with the open-source community for better implementation.\n \n
\n Comprehensive Overview of DeepSeek V3
\n\n
\n Time Posted: Just now
\nAuthor: AI Research Team
\nTag: AI Models
\nDeepSeek V3 is a state-of-the-art AI model that leverages\n advanced architectures and techniques to deliver high performance across various applications.\n This overview covers its key concepts, practical applications, advantages, limitations, and best\n practices for implementation.
\nKey Concepts and Core Components
\n1. Mixture-of-Experts (MoE) Architecture: DeepSeek V3\n employs a Mixture-of-Experts (MoE) architecture, which consists of multiple neural networks,\n each optimized for different tasks. This architecture allows for efficient processing by\n activating only a portion of the network for each task, reducing hardware costs.
\n2. Parameters: The model boasts a total of 671\n billion\n parameters, with 37 billion active parameters for each token during processing. The addition\n of\n the Multi-Token Prediction (MTP) module increases the total parameters to 685 billion,\n making it\n significantly larger than other models like Meta's Llama 3.1 (405B).
\n3. Multi-head Latent Attention (MLA): DeepSeek V3\n uses\n Multi-head Latent Attention (MLA) to extract key details from text multiple times, improving\n its\n accuracy.
\n4. Multi-Token Prediction (MTP): The model utilizes\n Multi-Token Prediction to generate several tokens at once, speeding up inference and\n enabling\n speculative decoding.
\nPractical Applications
\n- \n
- Translation, Coding, and Content Generation:\n DeepSeek V3 is designed for a wide range of tasks including translation, coding, content\n generation, and reasoning. It excels in English, Chinese, coding, and mathematics,\n rivaling leading commercial models like OpenAI's GPT-4. \n
- Research and Development: The open-source nature\n of DeepSeek V3 fuels innovation, allowing researchers to experiment with and build upon\n its technology. \n
- Commercial Applications: The licensing of\n DeepSeek V3 makes it permissible for commercial use, opening it up to numerous\n applications across different industries. \n
- Democratization of AI: By making powerful AI\n accessible, DeepSeek V3 levels the playing field, allowing smaller organizations to\n compete with larger ones. \n
Advantages
\n- \n
- Speed and Efficiency: DeepSeek V3 processes\n information at a blistering 60 tokens per second, a threefold increase over its\n predecessor. It uses advanced inference capabilities, deploying 32 H800 GPUs for prefill\n and 320 H800 GPUs for decoding. \n
- Cost-Effectiveness: The model was trained for a\n mere $5.5 million, a fraction of the estimated over $100 million invested by OpenAI in\n GPT-4. DeepSeek V3 offers significantly lower prices for its online services, with 1\n million tokens priced at just $1.1, currently offered at a promotional rate of $0.28.\n \n
- Innovation in Inference: The model's advanced\n inference capabilities set the standard for future model deployment, making it a\n powerful tool in the digital realm. \n
Limitations
\n- \n
- Deployment Complexity: Deploying DeepSeek V3\n requires advanced hardware and a deployment strategy that separates the prefilling and\n decoding stages, which might be unachievable for small companies due to a lack of\n resources. The recommended deployment unit for DeepSeek V3 is relatively large, posing a\n burden for small-sized teams. \n
- Potential for Further Enhancement: Although\n DeepSeek V3 has achieved an end-to-end generation speed of more than two times that of\n DeepSeek V2, there still remains potential for further enhancement with the development\n of more advanced hardware. \n
Best Practices for Implementation
\n- \n
- Hardware Requirements: Ensure that the\n deployment environment has the necessary advanced hardware to handle the model's\n requirements, including multiple GPUs for prefill and decoding. \n
- Deployment Strategy: Implement a deployment\n strategy that separates the prefilling and decoding stages to optimize performance and\n efficiency. \n
- Monitoring and Optimization: Continuously\n monitor the model's performance and optimize it as needed to address any limitations and\n improve efficiency. \n
- Community Engagement: Engage with the\n open-source community to leverage the collective knowledge and resources available,\n which can help in addressing any challenges and improving the model further. \n
Hashtags:
\n\t\t\t\n\t\t\t\t \n\t\t
\n\t\n\n"
},
"typeVersion": 1.2
},
{
"id": "0e968154-ead5-4194-834e-0d1175e7c1d9",
"name": "AI Researcher",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
2900,
920
],
"parameters": {
"text": "={{ $json.answer }}",
"options": {
"systemMessage": "=You are a user research expert interviewing a user on the topic of \"{{ $('Set Interview Topic').first().json.interview_topic }}\".\n\n* Your task is to ask open-ended questions relevant to the interview topic.\n* Ask only one question at a time. Analyse the previous question and ask new question each time. If there is an opportunity to dig deeper into a previous answer, do so but limit to 1 follow-on question.\n* Keep asking questions until the user requests to stop the interview. When the user requests to stop the interview and no question is required, \"question\" is an empty string.\n* Use a friendly and polite tone when asking questions.\n* If the user answers are inrelevant to the question, ask the question again or move on to another question.\n* If the user's answer is beyond the scope of the interview, ignore the answer and ask if the user would like to stop the interview.\n*You must format your response using the following json schema as we require pre processing before responding to the user.\n```\n{\n \"type\":\"object\",\n \"properties\": {\n \"stop_interview\": { \"type\": \"boolean\" },\n \"question\": { \"type\": [\"string\", \"null\"] }\n }\n}\n```\n* Output only the json object and do not prefix or suffix the message with extraneous text."
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.7
},
{
"id": "969d4094-1046-4f53-bf8b-5ae7e50bd3ed",
"name": "Parse Response",
"type": "n8n-nodes-base.set",
"position": [
3220,
920
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "bf61134c-e24c-453e-97ef-5edd25726148",
"name": "output",
"type": "object",
"value": "={{\n$json.output\n .replace('```json', '')\n .replace('```', '')\n .parseJson()\n}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "323b73c4-8c77-48a9-a549-f3e863ba72c2",
"name": "Groq Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"position": [
2860,
1120
],
"parameters": {
"model": "llama-3.2-90b-text-preview",
"options": {}
},
"credentials": {
"groqApi": {
"id": "YQVoV5K9FREww7t1",
"name": "Groq account"
}
},
"typeVersion": 1
},
{
"id": "bf4518c4-8e59-450e-be5a-92f31cf38528",
"name": "Show Transcript",
"type": "n8n-nodes-base.html",
"position": [
5260,
1140
],
"parameters": {
"html": "\n\n\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\t\t\t
\n\t\t\t\t\t\n\t\t\t\n\t\t\t\t\t\t
\n\t\t\t\t404 Not Found
\n\t\t\t\t\t\tThe requested session does not exist.
\nYour session may have expired.
\n\n\t\t\t\n\t\t\t\t \n\t\t
\n\t\n\n"
},
"typeVersion": 1.2
},
{
"id": "dff24e45-8e57-4dfc-8b65-9d315b406bd2",
"name": "Save to Google Sheet",
"type": "n8n-nodes-base.googleSheets",
"position": [
5040,
760
],
"parameters": {
"columns": {
"value": {
"name": "{{ $('Start Interview').first().json['What is your name?'] }}",
"session_id": "={{ $('UUID').first().json.data }}"
},
"schema": [
{
"id": "session_id",
"type": "string",
"display": true,
"required": false,
"displayName": "session_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "timestamp",
"type": "string",
"display": true,
"required": false,
"displayName": "timestamp",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "name",
"type": "string",
"display": true,
"required": false,
"displayName": "name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "type",
"type": "string",
"display": true,
"required": false,
"displayName": "type",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "question",
"type": "string",
"display": true,
"required": false,
"displayName": "question",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "answer",
"type": "string",
"display": true,
"required": false,
"displayName": "answer",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "autoMapInputData",
"matchingColumns": []
},
"options": {
"useAppend": true
},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 1695693704,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1wKjVdm7HeufJkHrUJn_bW9bFI_blm0laoI_jgXKDe0Q/edit#gid=1695693704",
"cachedResultName": "transcripts"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1wKjVdm7HeufJkHrUJn_bW9bFI_blm0laoI_jgXKDe0Q",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1wKjVdm7HeufJkHrUJn_bW9bFI_blm0laoI_jgXKDe0Q/edit?usp=drivesdk",
"cachedResultName": "AI Researcher with n8n Forms"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "FsFwFchwmgtBu5l7",
"name": "Google Sheets account"
}
},
"typeVersion": 4.5
},
{
"id": "8eb03a1c-02e4-4d49-bf68-bb148585828f",
"name": "Session to List",
"type": "n8n-nodes-base.splitOut",
"position": [
4700,
760
],
"parameters": {
"options": {},
"fieldToSplitOut": "session"
},
"typeVersion": 1
},
{
"id": "c594aa2b-a29d-42e4-8799-1c557d78932d",
"name": "Messages To JSON",
"type": "n8n-nodes-base.set",
"position": [
4860,
760
],
"parameters": {
"mode": "raw",
"options": {},
"jsonOutput": "={{\n{\n ...$json.session.parseJson(),\n session_id: `session_${$('UUID').first().json.data}`,\n name: $('Start Interview').first().json['What is your name?'],\n}\n}}"
},
"typeVersion": 3.4
},
{
"id": "106bd688-6ccc-4a6a-9b52-ee7187d9aebe",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
4540,
420
],
"parameters": {
"color": 7,
"width": 508,
"height": 293,
"content": "## 5. Save the Interview to Sheets\n[Read more about the Google Sheets node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets/)\n\nFor easier data-sharing, we can have the workflow upload the session messages into data analysis tools for our team members.\n\nFor this demo, Google Sheets is an easy option. We'll pull the entire session out of redis and upload the messages one by one to sheets.\n\n### Check out the example sheet here: https://docs.google.com/spreadsheets/d/1wKjVdm7HeufJkHrUJn_bW9bFI_blm0laoI_jgXKDe0Q/edit?usp=sharing"
},
"typeVersion": 1
},
{
"id": "b7754724-7473-4245-8b54-85c370a2b1be",
"name": "Query By Session",
"type": "n8n-nodes-base.redis",
"position": [
4920,
1240
],
"parameters": {
"key": "=session_{{ $('Webhook').first().json.params.session_id }}",
"options": {},
"operation": "get",
"propertyName": "data"
},
"credentials": {
"redis": {
"id": "AbPH1yYQ924bVUqm",
"name": "Upstash (ai interviewer)"
}
},
"typeVersion": 1
},
{
"id": "4b6a0db6-1d33-4ed3-a955-7562e0dba1f0",
"name": "Get Session",
"type": "n8n-nodes-base.redis",
"position": [
4540,
760
],
"parameters": {
"key": "=session_{{ $('UUID').first().json.data }}",
"keyType": "list",
"options": {},
"operation": "get",
"propertyName": "session"
},
"credentials": {
"redis": {
"id": "AbPH1yYQ924bVUqm",
"name": "Upstash (ai interviewer)"
}
},
"executeOnce": true,
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"UUID": {
"main": [
[
{
"node": "Create Session",
"type": "main",
"index": 0
}
]
]
},
"Webhook": {
"main": [
[
{
"node": "Query By Session",
"type": "main",
"index": 0
}
]
]
},
"Get Answer": {
"main": [
[
{
"node": "Generate Row",
"type": "main",
"index": 0
}
]
]
},
"Get Session": {
"main": [
[
{
"node": "Session to List",
"type": "main",
"index": 0
}
]
]
},
"Generate Row": {
"main": [
[
{
"node": "Update Session1",
"type": "main",
"index": 0
}
]
]
},
"404 Not Found": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"AI Researcher": {
"main": [
[
{
"node": "Parse Response",
"type": "main",
"index": 0
}
]
]
},
"Generate Row1": {
"main": [
[
{
"node": "Update Session2",
"type": "main",
"index": 0
}
]
]
},
"Generate Row2": {
"main": [
[
{
"node": "Update Session",
"type": "main",
"index": 0
}
]
]
},
"Create Session": {
"main": [
[
{
"node": "Generate Row2",
"type": "main",
"index": 0
}
]
]
},
"Parse Response": {
"main": [
[
{
"node": "Stop Interview?",
"type": "main",
"index": 0
}
]
]
},
"Update Session": {
"main": [
[
{
"node": "Set Interview Topic",
"type": "main",
"index": 0
}
]
]
},
"Valid Session?": {
"main": [
[
{
"node": "Show Transcript",
"type": "main",
"index": 0
}
],
[
{
"node": "404 Not Found",
"type": "main",
"index": 0
}
]
]
},
"Groq Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Researcher",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Session to List": {
"main": [
[
{
"node": "Messages To JSON",
"type": "main",
"index": 0
}
]
]
},
"Show Transcript": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Start Interview": {
"main": [
[
{
"node": "UUID",
"type": "main",
"index": 0
}
]
]
},
"Stop Interview?": {
"main": [
[
{
"node": "Generate Row1",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Answer",
"type": "main",
"index": 0
}
]
]
},
"Update Session1": {
"main": [
[
{
"node": "Send Reply To Agent",
"type": "main",
"index": 0
}
]
]
},
"Update Session2": {
"main": [
[
{
"node": "Clear For Next Interview",
"type": "main",
"index": 0
}
]
]
},
"Messages To JSON": {
"main": [
[
{
"node": "Save to Google Sheet",
"type": "main",
"index": 0
}
]
]
},
"Query By Session": {
"main": [
[
{
"node": "Valid Session?",
"type": "main",
"index": 0
}
]
]
},
"Send Reply To Agent": {
"main": [
[
{
"node": "AI Researcher",
"type": "main",
"index": 0
}
]
]
},
"Set Interview Topic": {
"main": [
[
{
"node": "AI Researcher",
"type": "main",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "Clear For Next Interview",
"type": "ai_memory",
"index": 0
}
]
]
},
"Window Buffer Memory2": {
"ai_memory": [
[
{
"node": "AI Researcher",
"type": "ai_memory",
"index": 0
}
]
]
},
"Clear For Next Interview": {
"main": [
[
{
"node": "Redirect to Completion Screen",
"type": "main",
"index": 0
}
]
]
},
"Redirect to Completion Screen": {
"main": [
[
{
"node": "Get Session",
"type": "main",
"index": 0
}
]
]
}
}
}
================================================
FILE: Forms_and_Surveys/Email Subscription Service with n8n Forms, Airtable and AI.json
================================================
{
"nodes": [
{
"id": "4dd52c72-9a9b-4db4-8de5-5b12b1e5c4be",
"name": "Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
180,
1480
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 9
}
]
}
},
"typeVersion": 1.2
},
{
"id": "9226181c-b84c-4ea1-a5b4-eedb6c62037b",
"name": "Search daily",
"type": "n8n-nodes-base.airtable",
"position": [
440,
1480
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appL3dptT6ZTSzY9v",
"cachedResultUrl": "https://airtable.com/appL3dptT6ZTSzY9v",
"cachedResultName": "Scheduled Emails"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblzR9vSuFUzlQNMI",
"cachedResultUrl": "https://airtable.com/appL3dptT6ZTSzY9v/tblzR9vSuFUzlQNMI",
"cachedResultName": "Table 1"
},
"options": {},
"operation": "search",
"filterByFormula": "AND({Status} = 'active', {Interval} = 'daily')"
},
"credentials": {
"airtableTokenApi": {
"id": "Und0frCQ6SNVX3VV",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "1a3b6224-2f66-41c6-8b3d-be286cf16370",
"name": "Search weekly",
"type": "n8n-nodes-base.airtable",
"position": [
440,
1660
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appL3dptT6ZTSzY9v",
"cachedResultUrl": "https://airtable.com/appL3dptT6ZTSzY9v",
"cachedResultName": "Scheduled Emails"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblzR9vSuFUzlQNMI",
"cachedResultUrl": "https://airtable.com/appL3dptT6ZTSzY9v/tblzR9vSuFUzlQNMI",
"cachedResultName": "Table 1"
},
"options": {},
"operation": "search",
"filterByFormula": "=AND(\n {Status} = 'active', \n {Interval} = 'weekly', \n {Last Sent} <= DATEADD(TODAY(), -7, 'days')\n)"
},
"credentials": {
"airtableTokenApi": {
"id": "Und0frCQ6SNVX3VV",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "1ea47e14-0a28-4780-95c7-31e24eb724d5",
"name": "confirmation email1",
"type": "n8n-nodes-base.gmail",
"position": [
620,
820
],
"webhookId": "dd8bd6df-2013-4f8d-a2cc-cd9b3913e3d2",
"parameters": {
"sendTo": "={{ $('Subscribe Form').item.json.email }}",
"message": "=This is to confirm your request to subscribe to \"Learn something every day!\" - a free service to send you facts about your favourite topics.\n\nTopic: {{ $('Subscribe Form').item.json.topic }}\nSchedule: {{ $('Subscribe Form').item.json.frequency }}",
"options": {
"appendAttribution": false
},
"subject": "Learn something every day confirmation"
},
"credentials": {
"gmailOAuth2": {
"id": "Sf5Gfl9NiFTNXFWb",
"name": "Gmail account"
}
},
"typeVersion": 2.1
},
{
"id": "d95262af-1b52-4f9c-8346-183b4eee8544",
"name": "Execute Workflow",
"type": "n8n-nodes-base.executeWorkflow",
"position": [
1140,
1480
],
"parameters": {
"mode": "each",
"options": {
"waitForSubWorkflow": false
},
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $workflow.id }}"
}
},
"typeVersion": 1.1
},
{
"id": "075292af-7a66-4275-ac2d-3c392189a10c",
"name": "Create Event",
"type": "n8n-nodes-base.set",
"position": [
980,
1480
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b28a0142-a028-471a-8180-9883e930feea",
"name": "email",
"type": "string",
"value": "={{ $json.Email }}"
},
{
"id": "970f5495-05df-42b6-a422-b2ac27f8eb95",
"name": "topic",
"type": "string",
"value": "={{ $json.Topic }}"
},
{
"id": "e871c431-948f-4b80-aa17-1e4266674663",
"name": "interval",
"type": "string",
"value": "={{ $json.Interval }}"
},
{
"id": "9b72597d-1446-4ef3-86e5-0a071c69155b",
"name": "id",
"type": "string",
"value": "={{ $json.id }}"
},
{
"id": "b17039c2-14a2-4811-9528-88ae963e44f7",
"name": "created_at",
"type": "string",
"value": "={{ $json.Created }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "28776aaf-6bd9-4f9f-bcf0-3d4401a74219",
"name": "Execute Workflow Trigger",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
1360,
1480
],
"parameters": {},
"typeVersion": 1
},
{
"id": "0eb62e75-228b-452b-80ab-f9ef3ad33204",
"name": "Unsubscribe Form",
"type": "n8n-nodes-base.formTrigger",
"position": [
180,
1160
],
"webhookId": "e64db96d-5e61-40d5-88fb-761621a829ab",
"parameters": {
"options": {
"path": "free-factoids-unsubscribe"
},
"formTitle": "Unsubscribe from Learn Something Every Day",
"formFields": {
"values": [
{
"fieldLabel": "ID",
"requiredField": true
},
{
"fieldType": "dropdown",
"fieldLabel": "Reason For Unsubscribe",
"multiselect": true,
"fieldOptions": {
"values": [
{
"option": "Emails not relevant"
},
{
"option": "Too many Emails"
},
{
"option": "I did not sign up to this service"
}
]
}
}
]
},
"formDescription": "We're sorry to see you go! Please take a moment to help us improve the service."
},
"typeVersion": 2.2
},
{
"id": "f889efe9-dc3c-428b-ad8e-4f7d17f23e75",
"name": "Set Email Vars",
"type": "n8n-nodes-base.set",
"position": [
2500,
1480
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "62a684fb-16f9-4326-8eeb-777d604b305a",
"name": "to",
"type": "string",
"value": "={{ $('Execute Workflow Trigger').first().json.email }},jim@height.io"
},
{
"id": "4270849e-c805-4580-9088-e8d1c3ef2fb4",
"name": "subject",
"type": "string",
"value": "=Your {{ $('Execute Workflow Trigger').first().json.interval }} factoid"
},
{
"id": "81d0e897-2496-4a3c-b16c-9319338f899f",
"name": "message",
"type": "string",
"value": "=\n\t\t\t\t\t
\n \n\t\t\t\t\t\t
\n\t\t\t\tThanks for Completing the Interview!
\n\t\t\t\t\t\tIf you liked this demo,
please follow me on http://linkedin.com/in/jimleuk and\n https://x.com/jimle_uk\n
\n \n Support my work! Sign up to n8n using this link 🙏\n \n
\n\n\t\t\t\t\t
\n\t\t\t\t\t\n\t\t\t\n\t\t\t\t\t\t
\n\t\t\t\tTranscript
\nThis session is deleted within 24 hours.
\n {{\n $json.data\n .map(item => JSON.parse(item))\n .filter(item => item.type === 'next_question')\n .map(item => `\n\n
\n `)\n .join('\\n')\n }}\n \t\t\t\t\n ${DateTime.fromISO(item.timestamp).format('dd MMM, hh:mm')}\n
\n \n
\n ${item.question}
\n ${item.answer}
\n \nYou asked about \"{{ $('Execution Data').first().json.topic.replace('\"','') }}\"\n
\n\n{{ $('Content Generation Agent').first().json.output }}\n
" }, { "id": "ee05de7b-5342-4deb-8118-edaf235d92cc", "name": "unsubscribe_link", "type": "string", "value": "=https://\nUnsubscribe\n
\n\n\n", "options": { "attachmentsUi": { "attachmentsBinary": [ {} ] }, "appendAttribution": false }, "subject": "={{ $json.subject }}" }, "credentials": { "gmailOAuth2": { "id": "Sf5Gfl9NiFTNXFWb", "name": "Gmail account" } }, "typeVersion": 2.1 }, { "id": "10b6ad35-fc1c-47a2-b234-5de3557d1164", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 1320, 1660 ], "parameters": { "color": 7, "width": 335, "height": 113, "content": "### 5. Use Execution Data to Filter Logs\nIf you've registered for community+ or are on n8n cloud, best practice is to use execution node to allow filtering of execution logs." }, "typeVersion": 1 }, { "id": "e3563fae-ff35-457b-9fb1-784eda637518", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 1780, 1280 ], "parameters": { "color": 7, "width": 340, "height": 140, "content": "### 6. Use AI to Generate Factoid and Image\nUse an AI agent to automate the generation of factoids as requested by the user. This is a simple example but we recommend a adding a unique touch to stand out from the crowd!" }, "typeVersion": 1 }, { "id": "d1016c5d-c855-44c5-8ad3-a534bedaa8cf", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ 2500, 1040 ], "parameters": { "color": 7, "width": 460, "height": 400, "content": "### 7. Send Email to User\nFinally, send a message to the user with both text and image.\nLog the event in the Airtable for later analysis if required.\n\n" }, "typeVersion": 1 }, { "id": "773075fa-e5a2-4d4f-8527-eb07c7038b00", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [ -420, 680 ], "parameters": { "width": 480, "height": 900, "content": "## Try It Out!\n\n### This n8n templates demonstrates how to build a simple subscriber service entirely in n8n using n8n forms as a frontend, n8n generally as the backend and Airtable as the storage layer.\n\nThis template in particular shows a fully automated service to send automated messages containing facts about a topic the user requested for.\n\n### How it works\n* An n8n form is setup up to allow users to subscribe with a desired topic and interval of which to recieve messages via n8n forms which is then added to the Airtable.\n* A scheduled trigger is executed every morning and searches for subscribers to send messages for based on their desired intervals.\n* Once found, Subscribers are sent to a subworkflow which performs the text content generation via an AI agent and also uses a vision model to generate an image.\n* Both are attached to an email which is sent to the subscriber. This email also includes an unsubscribe link.\n* The unsubscribe flow works similarly via n8n form interface which when submitted disables further scheduled emails to the user.\n\n## How to use\n* Make a copy of sample Airtable here: https://airtable.com/appL3dptT6ZTSzY9v/shrLukHafy5bwDRfD\n* Make sure the workflow is \"activated\" and the forms are available and reachable by your audience.\n\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!" }, "typeVersion": 1 } ], "pinData": {}, "connections": { "Wikipedia": { "ai_tool": [ [ { "node": "Content Generation Agent", "type": "ai_tool", "index": 0 } ] ] }, "Create Event": { "main": [ [ { "node": "Execute Workflow", "type": "main", "index": 0 } ] ] }, "Resize Image": { "main": [ [ { "node": "Set Email Vars", "type": "main", "index": 0 } ] ] }, "Search daily": { "main": [ [ { "node": "Create Event", "type": "main", "index": 0 } ] ] }, "Send Message": { "main": [ [ { "node": "Log Last Sent", "type": "main", "index": 0 } ] ] }, "Should Send?": { "main": [ [ { "node": "Should Send = True", "type": "main", "index": 0 } ] ] }, "Search weekly": { "main": [ [ { "node": "Create Event", "type": "main", "index": 0 } ] ] }, "Execution Data": { "main": [ [ { "node": "Content Generation Agent", "type": "main", "index": 0 } ] ] }, "Generate Image": { "main": [ [ { "node": "Resize Image", "type": "main", "index": 0 } ] ] }, "Set Email Vars": { "main": [ [ { "node": "Send Message", "type": "main", "index": 0 } ] ] }, "Subscribe Form": { "main": [ [ { "node": "Create Subscriber", "type": "main", "index": 0 } ] ] }, "Groq Chat Model": { "ai_languageModel": [ [ { "node": "Content Generation Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Search surprise": { "main": [ [ { "node": "Should Send?", "type": "main", "index": 0 } ] ] }, "Schedule Trigger": { "main": [ [ { "node": "Search surprise", "type": "main", "index": 0 }, { "node": "Search daily", "type": "main", "index": 0 }, { "node": "Search weekly", "type": "main", "index": 0 } ] ] }, "Unsubscribe Form": { "main": [ [ { "node": "Update Subscriber", "type": "main", "index": 0 } ] ] }, "Create Subscriber": { "main": [ [ { "node": "confirmation email1", "type": "main", "index": 0 } ] ] }, "Should Send = True": { "main": [ [ { "node": "Create Event", "type": "main", "index": 0 } ] ] }, "Window Buffer Memory": { "ai_memory": [ [ { "node": "Content Generation Agent", "type": "ai_memory", "index": 0 } ] ] }, "Content Generation Agent": { "main": [ [ { "node": "Generate Image", "type": "main", "index": 0 } ] ] }, "Execute Workflow Trigger": { "main": [ [ { "node": "Execution Data", "type": "main", "index": 0 } ] ] } } } ================================================ FILE: Forms_and_Surveys/Qualifying Appointment Requests with AI & n8n Forms.json ================================================ { "meta": { "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9" }, "nodes": [ { "id": "76589d1c-45f3-4a89-906f-8ef300d34964", "name": "n8n Form Trigger", "type": "n8n-nodes-base.formTrigger", "position": [ -2520, -280 ], "webhookId": "5e7637dd-d222-4786-8cdc-7b66cebc1481", "parameters": { "path": "schedule_appointment", "options": { "ignoreBots": true, "appendAttribution": true, "useWorkflowTimezone": true }, "formTitle": "Schedule an Appointment", "formFields": { "values": [ { "fieldLabel": "Your Name", "placeholder": "eg. Sam Smith", "requiredField": true }, { "fieldType": "email", "fieldLabel": "Email", "placeholder": "eg. sam@example.com", "requiredField": true }, { "fieldType": "textarea", "fieldLabel": "Enquiry", "placeholder": "eg. I'm looking for...", "requiredField": true } ] }, "formDescription": "Welcome to Jim's Appointment Form.\nBefore we set a date, please tell me a little about yourself and how I can help." }, "typeVersion": 2.1 }, { "id": "194b7073-fa33-4e75-85ed-c02724c8075c", "name": "Form End", "type": "n8n-nodes-base.form", "position": [ -420, -260 ], "webhookId": "8fcc907b-bc2e-4fdf-a829-82c83e677724", "parameters": { "options": { "formTitle": "Appointment Request Sent!" }, "operation": "completion", "completionTitle": "Appointment Request Sent!", "completionMessage": "=Thank you for submitting an appointment request. A confirmation of this request will be sent to your inbox. I'll get back to you shortly with a confirmation of the appointment.\n\nHere is the summary of the appointment request.\n\nName: {{ $('Get Form Values').item.json.name }}\nDate & Time: {{ DateTime.fromISO($('Get Form Values').item.json.dateTime).format('EEE, dd MMM @ t') }}\nEnquiry: {{ $('Get Form Values').item.json.enquiry.trim() }}\n" }, "typeVersion": 1 }, { "id": "688ea2cc-b595-4b6f-9214-d5dfd3893172", "name": "Enter Date & Time", "type": "n8n-nodes-base.form", "position": [ -1260, -320 ], "webhookId": "0cd03415-66f8-4c82-8069-5bfd8ea310bd", "parameters": { "options": { "formTitle": "Enter a Date & Time", "formDescription": "=Please select a date and time" }, "defineForm": "json", "jsonOutput": "={{\n[\n {\n \"fieldLabel\":\"Date\",\n \"requiredField\":true,\n \"fieldType\": \"dropdown\",\n \"fieldOptions\":\n Array(5).fill(0)\n .map((_,idx) => $now.plus(idx+1, 'day'))\n .filter(d => !d.isWeekend)\n .map(d => ({ option: d.format('EEE, d MMM') }))\n },\n {\n \"fieldLabel\": \"Time\",\n \"requiredField\": true,\n \"fieldType\": \"dropdown\",\n \"fieldOptions\": [\n { \"option\": \"9:00 am\" },\n { \"option\": \"10:00 am\" },\n { \"option\": \"11:00 am\" },\n { \"option\": \"12:00 pm\" },\n { \"option\": \"1:00 pm\" },\n { \"option\": \"2:00 pm\" },\n { \"option\": \"3:00 pm\" },\n { \"option\": \"4:00 pm\" },\n { \"option\": \"5:00 pm\" },\n { \"option\": \"6:00 pm\" }\n ]\n }\n]\n}}" }, "typeVersion": 1 }, { "id": "602c40f9-ab11-4908-aab3-1a199126e097", "name": "Get Form Values", "type": "n8n-nodes-base.set", "position": [ -900, -260 ], "parameters": { "mode": "raw", "options": {}, "jsonOutput": "={{\n{\n name: $('n8n Form Trigger').first().json['Your Name'],\n email: $('n8n Form Trigger').first().json.Email,\n enquiry: $('n8n Form Trigger').first().json.Enquiry,\n dateTime: DateTime.fromFormat(`${$json.Date} ${$json.Time}`, \"EEE, dd MMM t\"),\n submittedAt: $('n8n Form Trigger').first().json.submittedAt,\n}\n}}" }, "typeVersion": 3.4 }, { "id": "21f93645-5e27-4e9f-a72c-47a39e42a79c", "name": "Terms & Conditions", "type": "n8n-nodes-base.form", "position": [ -1680, -240 ], "webhookId": "dcf32f99-8fb7-457a-8a58-ac1a018b1873", "parameters": { "options": { "formTitle": "Before we continue...", "formDescription": "=Terms and Conditions for Booking an Appointment\n\nNon-Binding Nature of Discussions:\nAny information shared, discussed, or agreed upon during the call is non-binding and provisional. No agreement, service, or commitment shall be considered confirmed unless explicitly documented and agreed to in writing.\n\nProhibition of Recording and Note-Taking Tools:\nBy proceeding with the appointment, the user agrees not to use AI assistants, note-taking applications, recording devices, or any other technology to record or transcribe the conversation, whether manually or automatically. This is to ensure confidentiality and respect for the integrity of the discussion.\n\nConfirmation of Understanding:\nBy booking this appointment, you acknowledge and accept these terms and conditions in full." }, "formFields": { "values": [ { "fieldType": "dropdown", "fieldLabel": "Please select", "multiselect": true, "fieldOptions": { "values": [ { "option": "I accept the terms and conditions" } ] }, "requiredField": true } ] } }, "typeVersion": 1 }, { "id": "22e03fec-bd56-4fc3-864a-f1e81a864cb5", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -2340, -140 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "id": "8gccIjcuf3gvaoEr", "name": "OpenAi account" } }, "typeVersion": 1 }, { "id": "8b4e9bba-cd57-46af-8042-4b47e5ebcd82", "name": "Has Accepted?", "type": "n8n-nodes-base.if", "position": [ -1500, -240 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "bc7c3e99-e610-4997-82a7-4851f2c04c19", "operator": { "type": "string", "operation": "startsWith" }, "leftValue": "={{ $json[\"Please select\"] }}", "rightValue": "I accept" } ] } }, "typeVersion": 2.2 }, { "id": "627a4c00-e831-4a77-8aad-f417f0f8e6dd", "name": "Send Receipt", "type": "n8n-nodes-base.gmail", "position": [ -580, -260 ], "webhookId": "5f590407-4ab9-4ae6-bb85-38dbe41d6dce", "parameters": { "sendTo": "={{ $('Get Form Values').first().json.email }}", "message": "=Dear {{ $('Get Form Values').first().json.name }},
\nThanks for requesting an appointment. We will review and get back to you shortly.
\nHere is the summary of the request that was sent:
\n\nName: {{ $('Get Form Values').first().json.name }}
\nEmail: {{ $('Get Form Values').first().json.email }}
\nEnquiry: {{ $('Get Form Values').first().json.enquiry }}
\nSubmitted at: {{ $('Get Form Values').first().json.submittedAt }}\n
A new appointment request was submitted!
\n\nRequesting appointment date is {{ DateTime.fromISO($('Execute Workflow Trigger').item.json.dateTime).format('EEE, dd MMM @ t') }}.\n
\n\nName: {{ $('Execute Workflow Trigger').first().json.name }}
\nEmail: {{ $('Execute Workflow Trigger').first().json.email }}
\nEnquiry Summary: {{ $json.text }}
\nSubmitted at: {{ $('Execute Workflow Trigger').first().json.submittedAt }}\n
Dear {{ $('Execute Workflow Trigger').first().json.name }},
\nUnfortunately, we cannot schedule the requested appointment at the requested time.
\nKind regards
\n", "options": {}, "subject": "=Appointment Request Rejected for {{ DateTime.fromISO($('Execute Workflow Trigger').first().json.dateTime).format('EEE, dd MMM @ t') }}" }, "credentials": { "gmailOAuth2": { "id": "Sf5Gfl9NiFTNXFWb", "name": "Gmail account" } }, "typeVersion": 2.1 }, { "id": "40785eca-943c-45f6-b4a9-0c95538621ed", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ -2580, -555.2889298043726 ], "parameters": { "color": 7, "width": 763.0427617951669, "height": 611.898918296892, "content": "## 1. Qualify Enquiries Using AI\n[Learn more about the text classifier](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.text-classifier/)\n\nWith n8n's multi-forms, you’re no longer stuck creating long, overwhelming forms. Instead, you have more flexibility and control to design smarter, more engaging form experiences.\n\nIn this demo, we’ll explore an appointment request scenario where a user wants to schedule a call to discuss their inquiry. However, not all inquiries require a meeting, making it a perfect use case for AI to pre-qualify the request. We can handle this validation using the text classifier node." }, "typeVersion": 1 }, { "id": "985be8d1-e77a-475b-9ac2-dba163dbd950", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ -1800, -549.8684464902185 ], "parameters": { "color": 7, "width": 781.472405063291, "height": 606.0718987341766, "content": "## 2. Split Form For Better User Experience\n[Learn more about the forms](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.form)\n\nOnboarding is a great reason to split your big form into smaller ones. Taking the user through a step by step process ensures a smooth experience and keeps them engaged throughout.\n\nHere, we take the opportunity of the extra context space to display a terms and conditions which the user must agree to making their request. The next form then asks for desired date and time of the event." }, "typeVersion": 1 }, { "id": "9b0a3f0e-e15d-4d0e-b620-1acc78bf812c", "name": "Decline", "type": "n8n-nodes-base.form", "position": [ -2020, -160 ], "webhookId": "4353eadb-b7a0-45f2-8dd8-5f6cd882d8d8", "parameters": { "options": {}, "operation": "completion", "completionTitle": "Send me a DM Instead!", "completionMessage": "Thanks for your enquiry but it may not necessarily need an appointment. Please feel free to email me instead at jim@example.com." }, "typeVersion": 1 }, { "id": "fcd3eb7d-6389-4c07-97cc-275ae387c963", "name": "Decline1", "type": "n8n-nodes-base.form", "position": [ -1260, -160 ], "webhookId": "4353eadb-b7a0-45f2-8dd8-5f6cd882d8d8", "parameters": { "options": {}, "operation": "completion", "completionTitle": "Send me a DM Instead!", "completionMessage": "Thanks for your enquiry but it may not necessarily need an appointment. Please feel free to email me instead at jim@example.com." }, "typeVersion": 1 }, { "id": "d89427cb-fffb-4aa4-b55c-b315fa0e92be", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [ -1000, -498.80432681242814 ], "parameters": { "color": 7, "width": 792.9401150747982, "height": 497.4250863060987, "content": "## 3. Send Acknowledgement to User and Start Approval Process\n[Learn more about the Gmail node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.gmail/)\n\nOnce all form steps are concluded, we can send a notification to the requester via email and in the background, trigger another email to the admin to initiate the approval process. The approval process works in a separate execution so doesn't interrupt the user's form experience." }, "typeVersion": 1 }, { "id": "041081e1-ee98-4b40-aa14-1980b23f4031", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [ -160, -620 ], "parameters": { "color": 7, "width": 609.4228768699652, "height": 287.178089758343, "content": "## 4. Approve or Decline Appointment\n[Learn more about the Waiting for Approval](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.gmail/message-operations/#send-a-message-and-wait-for-approval)\n\nThe Wait for Approval feature for Gmail is a special operation which allows for human-in-the-loop interaction in n8n workflows. In this example, the human interaction is the approval of the appointment request. The feature will put the workflow in a waiting state where a message is sent to the admin with 2 buttons: confirm and decline.\n\nWhen the admin clicks on the confirm button, the workflow resumes from the Gmail node and a meeting event is created for the requesting user in Google Calendar.\n\nWhen declined, a rejection email is sent to the requester instead." }, "typeVersion": 1 }, { "id": "d6af0f50-234f-46ca-aa41-7f3891aff8a3", "name": "Trigger Approval Process", "type": "n8n-nodes-base.executeWorkflow", "position": [ -740, -260 ], "parameters": { "mode": "each", "options": { "waitForSubWorkflow": false }, "workflowId": { "__rl": true, "mode": "id", "value": "={{ $workflow.id }}" } }, "typeVersion": 1.1 }, { "id": "e524d6df-9b6d-4d61-8e71-08a0d3a751d7", "name": "Execute Workflow Trigger", "type": "n8n-nodes-base.executeWorkflowTrigger", "position": [ -160, -260 ], "parameters": {}, "typeVersion": 1 }, { "id": "74dccbc1-7728-4336-a18a-2541007fd369", "name": "Summarise Enquiry", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ 0, -260 ], "parameters": { "text": "=The enquiry is as follows:\n{{ $('Execute Workflow Trigger').first().json.enquiry.substring(0, 500) }}", "messages": { "messageValues": [ { "message": "Summarise the given enquiry" } ] }, "promptType": "define" }, "typeVersion": 1.5 }, { "id": "b74f0f5a-39f0-4db3-beba-03caf981c5d2", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ -3080, -640 ], "parameters": { "width": 468.6766398158801, "height": 690.6653164556957, "content": "## Try it out!\n\n### This n8n template is a simple appointment scheduling workflow using n8n forms with AI thrown in the mix for good measure. It also uses n8n's wait for approval feature which allows the ability to confirm appointment requests and create events in Google Calendar.\n\n### How it works\n* We start with a form trigger which asks for the purpose of the appointment.\n* Instantly, we can qualify this by using a text classifier node which uses AI's contextual understanding to ensure the appointment is worthwhile. If not, an alternative is suggested instead.\n* Multi-page forms are then used to set the terms of the appointment and ask the user for a desired date and time.\n* An acknowledgement is sent to the user while an approval by email process is triggered in the background.\n* In a subworkflow, we use Gmail with the wait for approval operation to send an approval form to the admin user who can either confirm or decline the appointment request.\n* When approved, a Google Calendar event is created. When declined, the user is notified via email that the appointment request was declined.\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!\n" }, "typeVersion": 1 }, { "id": "d3c87dfa-d6e5-402a-89e5-6d8f93b824a6", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 299, -280 ], "parameters": { "width": 177.66444188722656, "height": 257.56869965477557, "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### 🚨 Set your admin email here!" }, "typeVersion": 1 }, { "id": "6351121d-6ebe-432d-b370-13296fd58e1a", "name": "Enquiry Classifier", "type": "@n8n/n8n-nodes-langchain.textClassifier", "position": [ -2340, -280 ], "parameters": { "options": { "fallback": "other" }, "inputText": "={{ $json.Enquiry }}", "categories": { "categories": [ { "category": "relevant enquiry", "description": "Enquire about AI, automation, digital products and product engineering." } ] } }, "typeVersion": 1 } ], "pinData": {}, "connections": { "Send Receipt": { "main": [ [ { "node": "Form End", "type": "main", "index": 0 } ] ] }, "Has Accepted?": { "main": [ [ { "node": "Enter Date & Time", "type": "main", "index": 0 } ], [ { "node": "Decline1", "type": "main", "index": 0 } ] ] }, "Has Approval?": { "main": [ [ { "node": "Create Appointment", "type": "main", "index": 0 } ], [ { "node": "Send Rejection", "type": "main", "index": 0 } ] ] }, "Get Form Values": { "main": [ [ { "node": "Trigger Approval Process", "type": "main", "index": 0 } ] ] }, "n8n Form Trigger": { "main": [ [ { "node": "Enquiry Classifier", "type": "main", "index": 0 } ] ] }, "Enter Date & Time": { "main": [ [ { "node": "Get Form Values", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Enquiry Classifier", "type": "ai_languageModel", "index": 0 } ] ] }, "Summarise Enquiry": { "main": [ [ { "node": "Wait for Approval", "type": "main", "index": 0 } ] ] }, "Wait for Approval": { "main": [ [ { "node": "Has Approval?", "type": "main", "index": 0 } ] ] }, "Enquiry Classifier": { "main": [ [ { "node": "Terms & Conditions", "type": "main", "index": 0 } ], [ { "node": "Decline", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model1": { "ai_languageModel": [ [ { "node": "Summarise Enquiry", "type": "ai_languageModel", "index": 0 } ] ] }, "Terms & Conditions": { "main": [ [ { "node": "Has Accepted?", "type": "main", "index": 0 } ] ] }, "Execute Workflow Trigger": { "main": [ [ { "node": "Summarise Enquiry", "type": "main", "index": 0 } ] ] }, "Trigger Approval Process": { "main": [ [ { "node": "Send Receipt", "type": "main", "index": 0 } ] ] } } } ================================================ FILE: Gmail_and_Email_Automation/A Very Simple _Human in the Loop_ Email Response System Using AI and IMAP.json ================================================ { "id": "Nvn78tMRNnKji7Fg", "meta": { "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462", "templateCredsSetupCompleted": true }, "name": "Very simple Human in the loop system email with AI e IMAP", "tags": [], "nodes": [ { "id": "271bb16f-9b62-41d9-ab76-114cd7ba915a", "name": "Email Trigger (IMAP)", "type": "n8n-nodes-base.emailReadImap", "position": [ -1300, 1340 ], "parameters": { "options": {} }, "credentials": { "imap": { "id": "k31W9oGddl9pMDy4", "name": "IMAP info@n3witalia.com" } }, "typeVersion": 2 }, { "id": "42d150d8-d574-49f9-9c0e-71a2cdea3b79", "name": "Markdown", "type": "n8n-nodes-base.markdown", "position": [ -1040, 1340 ], "parameters": { "html": "={{ $json.textHtml }}", "options": {} }, "typeVersion": 1 }, { "id": "e9498a60-0078-4581-b269-7ff552f4047a", "name": "Send Email", "type": "n8n-nodes-base.emailSend", "position": [ 920, 1320 ], "webhookId": "a79ae1b4-648c-4cb4-b6cd-04ea3c1d9314", "parameters": { "html": "={{ $('Set Email text').item.json.email }}", "options": {}, "subject": "=Re: {{ $('Email Trigger (IMAP)').item.json.subject }}", "toEmail": "={{ $('Email Trigger (IMAP)').item.json.from }}", "fromEmail": "={{ $('Email Trigger (IMAP)').item.json.to }}" }, "credentials": { "smtp": { "id": "hRjP3XbDiIQqvi7x", "name": "SMTP info@n3witalia.com" } }, "typeVersion": 2.1 }, { "id": "ab9f6ac3-2095-44df-aeba-2eab96ecf425", "name": "Email Summarization Chain", "type": "@n8n/n8n-nodes-langchain.chainSummarization", "position": [ -780, 1340 ], "parameters": { "options": { "binaryDataKey": "={{ $json.data }}", "summarizationMethodAndPrompts": { "values": { "prompt": "=Write a concise summary of the following in max 100 words:\n\n\"{{ $json.data }}\"\n\nDo not enter the total number of words used.", "combineMapPrompt": "=Write a concise summary of the following in max 100 words:\n\n\"{{ $json.data }}\"\n\nDo not enter the total number of words used." } } }, "operationMode": "nodeInputBinary" }, "typeVersion": 2 }, { "id": "86b7c3d0-e1f2-4e2f-b293-8042700d6816", "name": "Write email", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ -340, 1340 ], "parameters": { "text": "=Write the text to reply to the following email:\n\n{{ $json.response.text }}", "options": { "systemMessage": "You are an expert at answering emails. You need to answer them professionally based on the information you have. This is a business email. Be concise and never exceed 100 words. Only the body of the email, not create the subject" }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.7 }, { "id": "5d5a397f-f9c3-4691-afd0-9a6102679eac", "name": "OpenAI", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -400, 1560 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini", "cachedResultName": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "CDX6QM4gLYanh0P4", "name": "OpenAi account" } }, "typeVersion": 1.2 }, { "id": "5b36a295-fda6-4174-9078-0a8ec57620d2", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -800, 1260 ], "parameters": { "width": 320, "height": 240, "content": "Chain that summarizes the received email" }, "typeVersion": 1 }, { "id": "7110fe1f-0099-49aa-9095-96e733aa468f", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ -360, 1260 ], "parameters": { "width": 340, "height": 240, "content": "Agent that retrieves business information from a vector database and processes the response" }, "typeVersion": 1 }, { "id": "e2bdbd64-3c37-4867-ae2c-0f6937d82b81", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -1100, 1260 ], "parameters": { "height": 240, "content": "Convert email to Markdown format for better understanding of LLM models" }, "typeVersion": 1 }, { "id": "8ae5d216-5897-4c33-800a-27ff939b174a", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [ 620, 1300 ], "parameters": { "height": 180, "content": "If the feedback is OK send email" }, "typeVersion": 1 }, { "id": "4cfce63c-5931-45c5-99ca-eb85dca962b5", "name": "Approve Email", "type": "n8n-nodes-base.emailSend", "position": [ 380, 1340 ], "webhookId": "4f9f06e7-9b2b-4896-9b51-245972341d12", "parameters": { "message": "=MESSAGE
\n{{ $('Email Trigger (IMAP)').item.json.textHtml }}\n\nAI RESPONSE
\n{{ $json.email }}", "options": {}, "subject": "=[Approval Required] {{ $('Email Trigger (IMAP)').item.json.subject }}", "toEmail": "info@n3witalia.com", "fromEmail": "info@n3witalia.com", "operation": "sendAndWait" }, "credentials": { "smtp": { "id": "hRjP3XbDiIQqvi7x", "name": "SMTP info@n3witalia.com" } }, "typeVersion": 2.1 }, { "id": "d6c8acd2-ebc1-4aaa-bfcc-cdb18fcc8715", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -820, 1560 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "deepseek-chat", "cachedResultName": "deepseek-chat" }, "options": {} }, "credentials": { "openAiApi": { "id": "97Cz4cqyiy1RdcQL", "name": "DeepSeek" } }, "typeVersion": 1.2 }, { "id": "33bbedeb-129a-4e99-ab5a-9e0ec4456156", "name": "Set Email text", "type": "n8n-nodes-base.set", "position": [ 100, 1340 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "35d7c303-42f4-4dd1-b41e-6eb087c23c3d", "name": "email", "type": "string", "value": "={{ $json.output }}" } ] } }, "typeVersion": 3.4 }, { "id": "2293e0e6-4f2a-4622-a610-64b65f34e1e5", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 320, 1300 ], "parameters": { "height": 180, "content": "Human in the loop" }, "typeVersion": 1 }, { "id": "510196ec-adaf-4e6c-aac0-8ca8b754438a", "name": "Sticky Note11", "type": "n8n-nodes-base.stickyNote", "position": [ -1100, 940 ], "parameters": { "color": 3, "width": 540, "height": 260, "content": "# How it works\nThis workflow automates the handling of incoming emails, summarizes their content, generates appropriate responses and validate it through send IMAP email with \"Human in the loop\" system. \n\nYou can quickly integrate Gmail and Outlook via the appropriate nodes" }, "typeVersion": 1 }, { "id": "c4c9157d-4d05-47a1-a5eb-63865e838d39", "name": "Approved?", "type": "n8n-nodes-base.if", "position": [ 680, 1340 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "62e26bc5-1732-4699-a602-99490c7406fd", "operator": { "type": "boolean", "operation": "true", "singleValue": true }, "leftValue": "={{ $json.data.approved }}", "rightValue": "" } ] } }, "typeVersion": 2.2 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "47e79286-00f4-48e8-a0d1-e0f56d9ba0d5", "connections": { "OpenAI": { "ai_languageModel": [ [ { "node": "Write email", "type": "ai_languageModel", "index": 0 } ] ] }, "Markdown": { "main": [ [ { "node": "Email Summarization Chain", "type": "main", "index": 0 } ] ] }, "Approved?": { "main": [ [ { "node": "Send Email", "type": "main", "index": 0 } ], [] ] }, "Write email": { "main": [ [ { "node": "Set Email text", "type": "main", "index": 0 } ] ] }, "Approve Email": { "main": [ [ { "node": "Approved?", "type": "main", "index": 0 } ] ] }, "Set Email text": { "main": [ [ { "node": "Approve Email", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Email Summarization Chain", "type": "ai_languageModel", "index": 0 } ] ] }, "Email Trigger (IMAP)": { "main": [ [ { "node": "Markdown", "type": "main", "index": 0 } ] ] }, "Email Summarization Chain": { "main": [ [ { "node": "Write email", "type": "main", "index": 0 } ] ] } } } ================================================ FILE: Gmail_and_Email_Automation/AI-powered email processing autoresponder and response approval (Yes_No).json ================================================ { "id": "OuHrYOR3uWGmrhWQ", "meta": { "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462", "templateCredsSetupCompleted": true }, "name": "AI Email processing autoresponder with approval (Yes/No)", "tags": [], "nodes": [ { "id": "06a098db-160b-45f7-aeac-a73ef868148e", "name": "Email Trigger (IMAP)", "type": "n8n-nodes-base.emailReadImap", "position": [ -180, -100 ], "parameters": { "options": {} }, "credentials": { "imap": { "id": "k31W9oGddl9pMDy4", "name": "IMAP info@n3witalia.com" } }, "typeVersion": 2 }, { "id": "9589443b-efb7-4e0d-bafc-0be9858a4755", "name": "Markdown", "type": "n8n-nodes-base.markdown", "position": [ 40, -100 ], "parameters": { "html": "={{ $json.textHtml }}", "options": {} }, "typeVersion": 1 }, { "id": "8de7b2f3-bf75-4f3c-a1ee-eec047a7b82e", "name": "DeepSeek R1", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 240, 80 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "deepseek/deepseek-r1:free", "cachedResultName": "deepseek/deepseek-r1:free" }, "options": {} }, "credentials": { "openAiApi": { "id": "XJTqRiKFJpFs5MuX", "name": "OpenRouter account" } }, "typeVersion": 1.2 }, { "id": "babf37dc-99ca-439a-b094-91c52799b8df", "name": "Send Email", "type": "n8n-nodes-base.emailSend", "position": [ 1840, -120 ], "webhookId": "f84fcde7-6aac-485a-9a08-96a35955af49", "parameters": { "html": "={{ $('Write email').item.json.output }}", "options": {}, "subject": "=Re: {{ $('Email Trigger (IMAP)').item.json.subject }}", "toEmail": "={{ $('Email Trigger (IMAP)').item.json.from }}", "fromEmail": "={{ $('Email Trigger (IMAP)').item.json.to }}" }, "credentials": { "smtp": { "id": "hRjP3XbDiIQqvi7x", "name": "SMTP info@n3witalia.com" } }, "typeVersion": 2.1 }, { "id": "ebeb986d-053a-420d-8482-ee00e75f2f10", "name": "Qdrant Vector Store", "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant", "position": [ 1180, 200 ], "parameters": { "mode": "retrieve-as-tool", "options": {}, "toolName": "company_knowladge_base", "toolDescription": "Extracts information regarding the request made.", "qdrantCollection": { "__rl": true, "mode": "id", "value": "=COLLECTION" }, "includeDocumentMetadata": false }, "credentials": { "qdrantApi": { "id": "iyQ6MQiVaF3VMBmt", "name": "QdrantApi account" } }, "typeVersion": 1 }, { "id": "ccc3d026-bfa3-4fda-be0a-ef70bf831aa7", "name": "Embeddings OpenAI", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [ 1180, 380 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "id": "CDX6QM4gLYanh0P4", "name": "OpenAi account" } }, "typeVersion": 1.2 }, { "id": "1726aac9-a77d-4f19-8c07-70b032c3abeb", "name": "Email Summarization Chain", "type": "@n8n/n8n-nodes-langchain.chainSummarization", "position": [ 260, -100 ], "parameters": { "options": { "binaryDataKey": "={{ $json.data }}", "summarizationMethodAndPrompts": { "values": { "prompt": "=Write a concise summary of the following in max 100 words :\n\n\"{{ $json.data }}\"\n\nDo not enter the total number of words used.", "combineMapPrompt": "=Write a concise summary of the following in max 100 words:\n\n\"{{ $json.data }}\"\n\nDo not enter the total number of words used." } } }, "operationMode": "nodeInputBinary" }, "typeVersion": 2 }, { "id": "81b889d0-e724-4c1f-9ce3-7593c796aaaf", "name": "Write email", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 980, -100 ], "parameters": { "text": "=Write the text to reply to the following email:\n\n{{ $('Email Summarization Chain').item.json.response.text }}", "options": { "systemMessage": "You are an expert at answering emails. You need to answer them professionally based on the information you have. This is a business email. Be concise and never exceed 100 words. Only the body of the email, not create the subject.\n\nIt must be in HTML format and you can insert (if you think it is appropriate) only HTML characters such as, , ,
where necessary." }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.7 }, { "id": "cf38e319-59b3-490e-b841-579afc9fbc02", "name": "OpenAI", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 980, 200 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini", "cachedResultName": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "CDX6QM4gLYanh0P4", "name": "OpenAi account" } }, "typeVersion": 1.2 }, { "id": "19842e5f-c372-4dfd-b860-87dc5f00b1af", "name": "Set Email", "type": "n8n-nodes-base.set", "position": [ 760, -100 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "759dc0f9-f582-492c-896c-6426f8410127", "name": "email", "type": "string", "value": "={{ $json.response.text }}" } ] } }, "typeVersion": 3.4 }, { "id": "2cf7a9af-c5e8-45dd-bda5-01c562a0defb", "name": "Approve?", "type": "n8n-nodes-base.if", "position": [ 1560, -100 ], "parameters": { "options": { "ignoreCase": false }, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "5c377c1c-43c6-45e7-904e-dbbe6b682686", "operator": { "type": "boolean", "operation": "true", "singleValue": true }, "leftValue": "={{ $json.data.approved }}", "rightValue": "true" } ] } }, "typeVersion": 2.2 }, { "id": "08cabec6-9840-4214-8315-b877c86794bf", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -220, -680 ], "parameters": { "color": 3, "width": 580, "height": 420, "content": "# Main Flow\n\n## Preliminary step:\nCreate a vector database on Qdrant and tokenize the documents useful for generating a response\n\n\n## How it works\nThis workflow is designed to automate the process of handling incoming emails, summarizing their content, generating appropriate responses with RAG, and obtaining approval (YES/NO button) before sending replies.\n\nThis workflow is designed to handle general inquiries that come in via corporate email via IMAP and generate responses using RAG. You can quickly integrate Gmail and Outlook via the appropriate trigger nodes" }, "typeVersion": 1 }, { "id": "80692c8f-e236-43ac-aad2-91bd90f40065", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -40, -180 ], "parameters": { "height": 240, "content": "Convert email to Markdown format for better understanding of LLM models" }, "typeVersion": 1 }, { "id": "e6957fde-bf05-4b67-aa0e-44c575fca04d", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 240, -180 ], "parameters": { "width": 320, "height": 240, "content": "Chain that summarizes the received email" }, "typeVersion": 1 }, { "id": "7cfba59f-83ce-4f0b-b54a-b2c11d58fd82", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 940, -180 ], "parameters": { "width": 340, "height": 240, "content": "Agent that retrieves business information from a vector database and processes the response" }, "typeVersion": 1 }, { "id": "28c4bd00-6a47-422f-a50a-935f3724ba01", "name": "Send Draft", "type": "n8n-nodes-base.gmail", "position": [ 1340, -100 ], "webhookId": "d6dd2e7c-90ea-4b65-9c64-523d2541a054", "parameters": { "sendTo": "YOUR GMAIL ADDRESS", "message": "=
MESSAGE
\n{{ $('Email Trigger (IMAP)').item.json.textHtml }}\n\nAI RESPONSE
\n{{ $json.output }}", "options": {}, "subject": "=[Approval Required] {{ $('Email Trigger (IMAP)').item.json.subject }}", "operation": "sendAndWait", "approvalOptions": { "values": { "approvalType": "double" } } }, "credentials": { "gmailOAuth2": { "id": "nyuHvSX5HuqfMPlW", "name": "Gmail account (n3w.it)" } }, "typeVersion": 2.1 }, { "id": "0aae1689-cee7-403a-8640-396db32eceed", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 1300, -300 ], "parameters": { "color": 4, "height": 360, "content": "## IMPORTANT\n\nFor the \"Send Draft\" node, you need to send the draft email to a Gmail address because it is the only one that allows the \"Send and wait for response\" function." }, "typeVersion": 1 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "6f7b864e-1589-418c-960e-b832cf032d1b", "connections": { "OpenAI": { "ai_languageModel": [ [ { "node": "Write email", "type": "ai_languageModel", "index": 0 } ] ] }, "Approve?": { "main": [ [ { "node": "Send Email", "type": "main", "index": 0 } ], [ { "node": "Set Email", "type": "main", "index": 0 } ] ] }, "Markdown": { "main": [ [ { "node": "Email Summarization Chain", "type": "main", "index": 0 } ] ] }, "Set Email": { "main": [ [ { "node": "Write email", "type": "main", "index": 0 } ] ] }, "Send Draft": { "main": [ [ { "node": "Approve?", "type": "main", "index": 0 } ] ] }, "DeepSeek R1": { "ai_languageModel": [ [ { "node": "Email Summarization Chain", "type": "ai_languageModel", "index": 0 } ] ] }, "Write email": { "main": [ [ { "node": "Send Draft", "type": "main", "index": 0 } ] ] }, "Embeddings OpenAI": { "ai_embedding": [ [ { "node": "Qdrant Vector Store", "type": "ai_embedding", "index": 0 } ] ] }, "Qdrant Vector Store": { "ai_tool": [ [ { "node": "Write email", "type": "ai_tool", "index": 0 } ] ] }, "Email Trigger (IMAP)": { "main": [ [ { "node": "Markdown", "type": "main", "index": 0 } ] ] }, "Email Summarization Chain": { "main": [ [ { "node": "Set Email", "type": "main", "index": 0 } ] ] } } } ================================================ FILE: Gmail_and_Email_Automation/Analyze & Sort Suspicious Email Contents with ChatGPT.json ================================================ { "meta": { "instanceId": "03e9d14e9196363fe7191ce21dc0bb17387a6e755dcc9acc4f5904752919dca8" }, "nodes": [ { "id": "94dd7f48-0013-4fb5-89c4-826ecd7f2d66", "name": "Gmail Trigger", "type": "n8n-nodes-base.gmailTrigger", "position": [ 1460, 120 ], "parameters": { "simple": false, "filters": {}, "options": {}, "pollTimes": { "item": [ { "mode": "everyMinute" } ] } }, "credentials": { "gmailOAuth2": { "id": "kkhNhqKpZt6IUZd0", "name": "Gmail" } }, "typeVersion": 1.2 }, { "id": "ca2023fa-ceca-4923-80e4-a3843803536c", "name": "Microsoft Outlook Trigger", "type": "n8n-nodes-base.microsoftOutlookTrigger", "disabled": true, "position": [ 1480, 680 ], "parameters": { "fields": [ "body", "toRecipients", "subject", "bodyPreview" ], "output": "fields", "filters": {}, "options": {}, "pollTimes": { "item": [ { "mode": "everyMinute" } ] } }, "credentials": { "microsoftOutlookOAuth2Api": { "id": "vTCK0oVQ0WjFrI5H", "name": " Outlook Credential" } }, "typeVersion": 1 }, { "id": "1f011214-91a0-4cfa-9d9e-29864937c0a3", "name": "Screenshot HTML", "type": "n8n-nodes-base.httpRequest", "position": [ 2620, 420 ], "parameters": { "url": "https://hcti.io/v1/image", "method": "POST", "options": {}, "sendBody": true, "sendQuery": true, "authentication": "genericCredentialType", "bodyParameters": { "parameters": [ { "name": "html", "value": "={{ $('Set Email Variables').item.json.htmlBody }}" } ] }, "genericAuthType": "httpBasicAuth", "queryParameters": { "parameters": [ {} ] } }, "credentials": { "httpBasicAuth": { "id": "8tm8mUWmPvtmPFPk", "name": "hcti.io" } }, "typeVersion": 4.2 }, { "id": "64f4789f-9de8-414f-af62-ddc339f0d0ac", "name": "Retrieve Screenshot", "type": "n8n-nodes-base.httpRequest", "position": [ 2800, 420 ], "parameters": { "url": "={{ $json.url }}", "options": {}, "authentication": "genericCredentialType", "genericAuthType": "httpBasicAuth" }, "credentials": { "httpBasicAuth": { "id": "8tm8mUWmPvtmPFPk", "name": "hcti.io" } }, "typeVersion": 4.2 }, { "id": "db707bd9-6abc-4ab7-8ffa-ad25c5e8adc4", "name": "Set Outlook Variables", "type": "n8n-nodes-base.set", "position": [ 2040, 680 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "38bd3db2-1a8d-4c40-a2dd-336e0cc84224", "name": "htmlBody", "type": "string", "value": "={{ $('Microsoft Outlook Trigger').item.json.body.content }}" }, { "id": "13bdd95b-ef02-486e-b38b-d14bd05a4a8a", "name": "headers", "type": "string", "value": "={{ $json}}" }, { "id": "20566ad4-7eb7-42b1-8a0d-f8b759610f10", "name": "subject", "type": "string", "value": "={{ $('Microsoft Outlook Trigger').item.json.subject }}" }, { "id": "7171998f-a5a2-4e23-946a-9c1ad75710e7", "name": "recipient", "type": "string", "value": "={{ $('Microsoft Outlook Trigger').item.json.toRecipients[0].emailAddress.address }}" }, { "id": "cc262634-2470-4524-8319-abe2518a6335", "name": "textBody", "type": "string", "value": "={{ $('Retrieve Headers of Email').item.json.body.content }}" } ] } }, "typeVersion": 3.4 }, { "id": "7a3622c0-6949-4ea3-ae13-46a1ee26de7b", "name": "Set Gmail Variables", "type": "n8n-nodes-base.set", "position": [ 2020, 120 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "38bd3db2-1a8d-4c40-a2dd-336e0cc84224", "name": "htmlBody", "type": "string", "value": "={{ $json.html }}" }, { "id": "18fbcf78-6d3c-4036-b3a2-fb5adf22176a", "name": "headers", "type": "string", "value": "={{ $json.headers }}" }, { "id": "1d690098-be2a-4604-baf8-62f314930929", "name": "subject", "type": "string", "value": "={{ $json.subject }}" }, { "id": "8009f00a-547f-4eb1-b52d-2e7305248885", "name": "recipient", "type": "string", "value": "={{ $json.to.text }}" }, { "id": "1932e97d-b03b-4964-b8bc-8262aaaa1f7a", "name": "textBody", "type": "string", "value": "={{ $json.text }}" } ] } }, "typeVersion": 3.4 }, { "id": "4b4c6b34-f74c-4402-91a1-4d002e02a3bd", "name": "Retrieve Headers of Email", "type": "n8n-nodes-base.httpRequest", "position": [ 1700, 680 ], "parameters": { "url": "=https://graph.microsoft.com/v1.0/me/messages/{{ $json.id }}?$select=internetMessageHeaders,body", "options": {}, "sendHeaders": true, "authentication": "predefinedCredentialType", "headerParameters": { "parameters": [ { "name": "Accept", "value": "application/json" }, { "name": "Prefer", "value": "outlook.body-content-type=\"text\"" } ] }, "nodeCredentialType": "microsoftOutlookOAuth2Api" }, "credentials": { "microsoftOutlookOAuth2Api": { "id": "vTCK0oVQ0WjFrI5H", "name": " Outlook Credential" } }, "typeVersion": 4.2 }, { "id": "0c9883b5-3eb7-45db-9803-d1b30166a3b5", "name": "Format Headers", "type": "n8n-nodes-base.code", "position": [ 1880, 680 ], "parameters": { "jsCode": "const input = $('Retrieve Headers of Email').item.json.internetMessageHeaders;\n\nconst result = input.reduce((acc, { name, value }) => {\n if (!acc[name]) acc[name] = [];\n acc[name].push(value);\n return acc;\n}, {});\n\nreturn result;" }, "typeVersion": 2 }, { "id": "c21a976c-00e5-4823-bd94-4c95a7d60438", "name": "Analyze Email with ChatGPT", "type": "@n8n/n8n-nodes-langchain.openAi", "position": [ 3000, 420 ], "parameters": { "modelId": { "__rl": true, "mode": "list", "value": "gpt-4o", "cachedResultName": "GPT-4O" }, "options": {}, "messages": { "values": [ { "content": "=Describe the following email using the HTML body and headers. Determine if the email could be a phishing email. \n\nHere is the HTML body:\n{{ $('Set Email Variables').item.json.htmlBody }}\n\nThe message headers are as follows:\n{{ $('Set Email Variables').item.json.headers }}\n\n" }, { "role": "system", "content": "Please make sure to output all responses using the following structured JSON output:\n{\n \"malicious\": false,\n \"summary\": \"The email appears to be a legitimate communication from a known sender. It contains no suspicious links, attachments, or language that indicates phishing or malicious intent.\"\n}\n\nFormat the response for Jira who uses a wiki-style renderer. Do not include ``` around your response. Make the summary as verbose as possible including a full breakdown of why the email is benign or malicious." } ] }, "jsonOutput": true }, "credentials": { "openAiApi": { "id": "76", "name": "OpenAi account" } }, "typeVersion": 1.6 }, { "id": "a91f4095-9245-4276-b21f-f415de22df62", "name": "Create Potentially Malicious Ticket", "type": "n8n-nodes-base.jira", "position": [ 3640, 400 ], "parameters": { "project": { "__rl": true, "mode": "list", "value": "10001", "cachedResultName": "Support" }, "summary": "=Potentially Malicious - Phishing Email Reported: \"{{ $('Set Email Variables').item.json.subject }}\"", "issueType": { "__rl": true, "mode": "list", "value": "10008", "cachedResultName": "Task" }, "additionalFields": { "description": "=A phishing email was reported by {{ $('Set Email Variables').item.json.recipient }} with the subject line \"{{ $('Set Email Variables').item.json.subject }}\"\n\\\\\nh2. Here is ChatGPT's analysis of the email:\n{{ $json.message.content.summary }}" } }, "credentials": { "jiraSoftwareCloudApi": { "id": "BZmmGUrNIsgM9fDj", "name": "New Jira Cloud" } }, "typeVersion": 1 }, { "id": "a5a66a0e-9d8a-45a9-b1ae-aec78ddfec27", "name": "Create Potentially Benign Ticket", "type": "n8n-nodes-base.jira", "position": [ 3640, 580 ], "parameters": { "project": { "__rl": true, "mode": "list", "value": "10001", "cachedResultName": "Support" }, "summary": "=Potentially Benign - Phishing Email Reported: \"{{ $('Set Email Variables').item.json.subject }}\"", "issueType": { "__rl": true, "mode": "list", "value": "10008", "cachedResultName": "Task" }, "additionalFields": { "description": "=A phishing email was reported by {{ $('Set Email Variables').item.json.recipient }} with the subject line \"{{ $('Set Email Variables').item.json.subject }}\"\n\\\\\nh2. Here is ChatGPT's analysis of the email:\n{{ $json.message.content.summary }}" } }, "credentials": { "jiraSoftwareCloudApi": { "id": "BZmmGUrNIsgM9fDj", "name": "New Jira Cloud" } }, "typeVersion": 1 }, { "id": "5af0d60b-d021-4dd9-98f7-b2842800764a", "name": "Rename Screenshot", "type": "n8n-nodes-base.code", "position": [ 4020, 480 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "$('Retrieve Screenshot').item.binary.data.fileName = 'emailScreenshot.png'\n\nreturn $('Retrieve Screenshot').item;" }, "typeVersion": 2 }, { "id": "441c4cbb-bd93-4213-bd34-e18f2a49389f", "name": "Set Jira ID", "type": "n8n-nodes-base.set", "position": [ 3860, 480 ], "parameters": { "options": {}, "includeOtherFields": true }, "typeVersion": 3.4 }, { "id": "4c71188c-011d-4f8e-a36c-87900bfab59a", "name": "Upload Screenshot of Email to Jira", "type": "n8n-nodes-base.jira", "position": [ 4220, 480 ], "parameters": { "issueKey": "={{ $('Set Jira ID').item.json.key }}", "resource": "issueAttachment" }, "credentials": { "jiraSoftwareCloudApi": { "id": "BZmmGUrNIsgM9fDj", "name": "New Jira Cloud" } }, "typeVersion": 1 }, { "id": "3c031c34-8306-44e1-8e0e-a584c5323112", "name": "Upload Email Body to Jira", "type": "n8n-nodes-base.jira", "position": [ 4620, 480 ], "parameters": { "issueKey": "={{ $('Set Jira ID').item.json.key }}", "resource": "issueAttachment" }, "credentials": { "jiraSoftwareCloudApi": { "id": "BZmmGUrNIsgM9fDj", "name": "New Jira Cloud" } }, "typeVersion": 1 }, { "id": "d033dcbd-7ccb-451f-ab81-cc6d32d2e01f", "name": "Convert Email Body to File", "type": "n8n-nodes-base.convertToFile", "position": [ 2420, 420 ], "parameters": { "options": { "fileName": "emailBody.txt" }, "operation": "toText", "sourceProperty": "textBody" }, "typeVersion": 1.1 }, { "id": "bda5e2fe-d8c0-456b-975a-35e82ff02816", "name": "Set Email Variables", "type": "n8n-nodes-base.set", "position": [ 2240, 420 ], "parameters": { "options": {}, "includeOtherFields": true }, "typeVersion": 3.4 }, { "id": "54ecd8ab-ac4a-4b6b-bd1b-bf8c70082a33", "name": "Rename Email Body Screenshot", "type": "n8n-nodes-base.code", "position": [ 4420, 480 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "$('Convert Email Body to File').item.binary.data.fileName = 'emailBody.txt'\n\nreturn $('Convert Email Body to File').item;" }, "typeVersion": 2 }, { "id": "fe5b82cc-b4bb-4c97-9477-075d5a280e9f", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 2574.536755825029, 0 ], "parameters": { "color": 7, "width": 376.8280004374956, "height": 595.590013880477, "content": "\n## Email Body Screenshot Creation\n\nThe **Screenshot HTML** node sends the email's HTML body to the **hcti.io** API, generating a screenshot that visually represents the email's layout. The **Retrieve Screenshot** node then fetches this image, making it available for attachment or review in subsequent steps. This dual-format processing ensures both clarity and flexibility in email analysis workflows." }, "typeVersion": 1 }, { "id": "86b21049-f65e-4c6a-a854-c4376f870da9", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 1380, -149.99110983560342 ], "parameters": { "color": 7, "width": 814.4556539379754, "height": 444.5525554815556, "content": "\n## Gmail Integration and Data Extraction\n\nThis section of the workflow connects to a Gmail account using the **Gmail Trigger** node, capturing incoming emails in real-time, with checks performed every minute. Once an email is detected, its key components—such as the subject, recipient, body, and headers—are extracted and assigned to variables using the **Set Gmail Variables** node. These variables are structured for subsequent analysis and processing in later steps." }, "typeVersion": 1 }, { "id": "b1a786cf-7a8d-49e1-90ed-31f3d0e65b13", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 1380, 308 ], "parameters": { "color": 7, "width": 809.7918597571277, "height": 602.9002284617277, "content": "\n## Microsoft Outlook Integration and Email Header Processing\n\nThis section enables the integration of Microsoft Outlook to monitor and capture incoming emails. The Microsoft Outlook Trigger node checks for new messages every minute. Once an email is detected, the Retrieve Headers of Email node fetches detailed header and body content via the Microsoft Graph API. The Format Headers node organizes the email headers into a structured format using a JavaScript function, ensuring clarity and readiness for further processing. Finally, the Set Outlook Variables node extracts and assigns key details—such as the email subject, recipient, body, and formatted headers—to variables for use in subsequent workflow steps. This section is essential for processing Outlook emails and preparing them for analysis and reporting.\n\n\n\n\n\n\n" }, "typeVersion": 1 }, { "id": "e7ace035-b5f5-4ef3-a117-22c7c938868d", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 2958.4325220284563, 24.744924120002338 ], "parameters": { "color": 7, "width": 593.0990401534098, "height": 573.1750519720028, "content": "\n## AI-Powered Email Analysis and Threat Detection\n\nThis section leverages ChatGPT for advanced email content and header analysis to determine potential phishing threats. The **Analyze Email with ChatGPT** node processes the email's HTML body and headers, generating a detailed JSON response that categorizes the email as malicious or benign. The response includes a verbose explanation, formatted for Jira, outlining the reasons for the classification. The **Check if Malicious** node evaluates the AI output to determine the next steps based on the email's threat status. If flagged as malicious, subsequent actions like reporting and ticket creation are triggered. This section ensures precise, AI-driven analysis to enhance email security workflows." }, "typeVersion": 1 }, { "id": "02c1ad8e-f952-42d2-ae9f-cf3a77e49e52", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 3562.4948140707697, -125.79607719303533 ], "parameters": { "color": 7, "width": 1251.7025543502837, "height": 891.579206098173, "content": "\n## Automated Jira Ticket Creation and Email Attachment\n\nThis section streamlines the process of logging phishing email reports in Jira, complete with detailed analysis and attachments. The workflow creates two distinct Jira tickets depending on the AI classification of the email:\n\n1. **Potentially Malicious**: The **Create Potentially Malicious Ticket** node generates a ticket if the email is flagged as a phishing attempt, including a summary of ChatGPT's analysis and the email’s details.\n2. **Potentially Benign**: If the email is classified as safe, the **Create Potentially Benign Ticket** node logs a ticket with similar details but under a non-malicious category.\n\n\nThe **Set Jira ID** node ensures the generated ticket's ID is tracked for subsequent operations. Attachments are handled efficiently:\n\n- **Rename Screenshot** prepares the email screenshot for upload.\n- **Upload Screenshot of Email to Jira** adds the screenshot to the Jira ticket for visual context.\n- **Rename Email Body Screenshot** and **Upload Email Body to Jira** manage the attachment of the email's text body as a `.txt` file.\n\n\nThis section enhances reporting by automating ticket creation, ensuring all relevant email data is readily available for review by security teams." }, "typeVersion": 1 }, { "id": "597ef23e-c61c-4e27-8c14-74ec20079c96", "name": "Check if Malicious", "type": "n8n-nodes-base.if", "position": [ 3400, 420 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "493f412c-5f11-4173-8940-90f5bc7f5fab", "operator": { "type": "boolean", "operation": "true", "singleValue": true }, "leftValue": "={{ $json.message.content.malicious }}", "rightValue": "" } ] } }, "typeVersion": 2.2 }, { "id": "af512af9-924b-4019-bdf9-62aac9cd0dac", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 2200, 39.041733604283195 ], "parameters": { "color": 7, "width": 365.6458805720866, "height": 559.8072303111675, "content": "\n## Email Body Conversion\n\nThis section processes the email body into both text and visual formats for detailed analysis and reporting. The **Set Email Variables** node organizes the email's data, including its HTML body and text content, to prepare it for further steps. The **Convert Email Body to File** node creates a `.txt` file containing the plain text version of the email body, useful for documentation or further analysis." }, "typeVersion": 1 } ], "pinData": {}, "connections": { "Set Jira ID": { "main": [ [ { "node": "Rename Screenshot", "type": "main", "index": 0 } ] ] }, "Gmail Trigger": { "main": [ [ { "node": "Set Gmail Variables", "type": "main", "index": 0 } ] ] }, "Format Headers": { "main": [ [ { "node": "Set Outlook Variables", "type": "main", "index": 0 } ] ] }, "Screenshot HTML": { "main": [ [ { "node": "Retrieve Screenshot", "type": "main", "index": 0 } ] ] }, "Rename Screenshot": { "main": [ [ { "node": "Upload Screenshot of Email to Jira", "type": "main", "index": 0 } ] ] }, "Check if Malicious": { "main": [ [ { "node": "Create Potentially Malicious Ticket", "type": "main", "index": 0 } ], [ { "node": "Create Potentially Benign Ticket", "type": "main", "index": 0 } ] ] }, "Retrieve Screenshot": { "main": [ [ { "node": "Analyze Email with ChatGPT", "type": "main", "index": 0 } ] ] }, "Set Email Variables": { "main": [ [ { "node": "Convert Email Body to File", "type": "main", "index": 0 } ] ] }, "Set Gmail Variables": { "main": [ [ { "node": "Set Email Variables", "type": "main", "index": 0 } ] ] }, "Set Outlook Variables": { "main": [ [ { "node": "Set Email Variables", "type": "main", "index": 0 } ] ] }, "Microsoft Outlook Trigger": { "main": [ [ { "node": "Retrieve Headers of Email", "type": "main", "index": 0 } ] ] }, "Retrieve Headers of Email": { "main": [ [ { "node": "Format Headers", "type": "main", "index": 0 } ] ] }, "Analyze Email with ChatGPT": { "main": [ [ { "node": "Check if Malicious", "type": "main", "index": 0 } ] ] }, "Convert Email Body to File": { "main": [ [ { "node": "Screenshot HTML", "type": "main", "index": 0 } ] ] }, "Rename Email Body Screenshot": { "main": [ [ { "node": "Upload Email Body to Jira", "type": "main", "index": 0 } ] ] }, "Create Potentially Benign Ticket": { "main": [ [ { "node": "Set Jira ID", "type": "main", "index": 0 } ] ] }, "Upload Screenshot of Email to Jira": { "main": [ [ { "node": "Rename Email Body Screenshot", "type": "main", "index": 0 } ] ] }, "Create Potentially Malicious Ticket": { "main": [ [ { "node": "Set Jira ID", "type": "main", "index": 0 } ] ] } } } ================================================ FILE: Gmail_and_Email_Automation/Analyze Suspicious Email Contents with ChatGPT Vision.json ================================================ { "meta": { "instanceId": "03e9d14e9196363fe7191ce21dc0bb17387a6e755dcc9acc4f5904752919dca8" }, "nodes": [ { "id": "1bad6bfc-9ec9-48a5-b8f7-73c4de3d08cf", "name": "Gmail Trigger", "type": "n8n-nodes-base.gmailTrigger", "position": [ 1480, 160 ], "parameters": { "simple": false, "filters": {}, "options": {}, "pollTimes": { "item": [ { "mode": "everyMinute" } ] } }, "credentials": { "gmailOAuth2": { "id": "kkhNhqKpZt6IUZd0", "name": " Gmail" } }, "typeVersion": 1.2 }, { "id": "9ac747a1-4fd8-46ba-b4c1-75fd17aab2ed", "name": "Microsoft Outlook Trigger", "type": "n8n-nodes-base.microsoftOutlookTrigger", "disabled": true, "position": [ 1480, 720 ], "parameters": { "fields": [ "body", "toRecipients", "subject", "bodyPreview" ], "output": "fields", "filters": {}, "options": {}, "pollTimes": { "item": [ { "mode": "everyMinute" } ] } }, "credentials": { "microsoftOutlookOAuth2Api": { "id": "vTCK0oVQ0WjFrI5H", "name": " Outlook Credential" } }, "typeVersion": 1 }, { "id": "5bf9b0e8-b84e-44a2-aad2-45dde3e4ab1b", "name": "Screenshot HTML", "type": "n8n-nodes-base.httpRequest", "position": [ 2520, 480 ], "parameters": { "url": "https://hcti.io/v1/image", "method": "POST", "options": {}, "sendBody": true, "sendQuery": true, "authentication": "genericCredentialType", "bodyParameters": { "parameters": [ { "name": "html", "value": "={{ $json.htmlBody }}" } ] }, "genericAuthType": "httpBasicAuth", "queryParameters": { "parameters": [ {} ] } }, "credentials": { "httpBasicAuth": { "id": "8tm8mUWmPvtmPFPk", "name": "hcti.io" } }, "typeVersion": 4.2 }, { "id": "fc770d1d-6c18-4d14-8344-1dc042464df6", "name": "Retrieve Screenshot", "type": "n8n-nodes-base.httpRequest", "position": [ 2700, 480 ], "parameters": { "url": "={{ $json.url }}", "options": {}, "authentication": "genericCredentialType", "genericAuthType": "httpBasicAuth" }, "credentials": { "httpBasicAuth": { "id": "8tm8mUWmPvtmPFPk", "name": "hcti.io" } }, "typeVersion": 4.2 }, { "id": "2f3e5cc0-24e8-450a-898b-71e2d6f7bb58", "name": "Set Outlook Variables", "type": "n8n-nodes-base.set", "position": [ 2020, 720 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "38bd3db2-1a8d-4c40-a2dd-336e0cc84224", "name": "htmlBody", "type": "string", "value": "={{ $('Microsoft Outlook Trigger').item.json.body.content }}" }, { "id": "13bdd95b-ef02-486e-b38b-d14bd05a4a8a", "name": "headers", "type": "string", "value": "={{ $json}}" }, { "id": "20566ad4-7eb7-42b1-8a0d-f8b759610f10", "name": "subject", "type": "string", "value": "={{ $('Microsoft Outlook Trigger').item.json.subject }}" }, { "id": "7171998f-a5a2-4e23-946a-9c1ad75710e7", "name": "recipient", "type": "string", "value": "={{ $('Microsoft Outlook Trigger').item.json.toRecipients[0].emailAddress.address }}" }, { "id": "cc262634-2470-4524-8319-abe2518a6335", "name": "textBody", "type": "string", "value": "={{ $('Retrieve Headers of Email').item.json.body.content }}" } ] } }, "typeVersion": 3.4 }, { "id": "374e5b16-a666-4706-9fd2-762b2927012d", "name": "Set Gmail Variables", "type": "n8n-nodes-base.set", "position": [ 2040, 160 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "38bd3db2-1a8d-4c40-a2dd-336e0cc84224", "name": "htmlBody", "type": "string", "value": "={{ $json.html }}" }, { "id": "18fbcf78-6d3c-4036-b3a2-fb5adf22176a", "name": "headers", "type": "string", "value": "={{ $json.headers }}" }, { "id": "1d690098-be2a-4604-baf8-62f314930929", "name": "subject", "type": "string", "value": "={{ $json.subject }}" }, { "id": "8009f00a-547f-4eb1-b52d-2e7305248885", "name": "recipient", "type": "string", "value": "={{ $json.to.text }}" }, { "id": "1932e97d-b03b-4964-b8bc-8262aaaa1f7a", "name": "textBody", "type": "string", "value": "={{ $json.text }}" } ] } }, "typeVersion": 3.4 }, { "id": "3166738e-d0a3-475b-8b19-51afd519ee3a", "name": "Retrieve Headers of Email", "type": "n8n-nodes-base.httpRequest", "position": [ 1680, 720 ], "parameters": { "url": "=https://graph.microsoft.com/v1.0/me/messages/{{ $json.id }}?$select=internetMessageHeaders,body", "options": {}, "sendHeaders": true, "authentication": "predefinedCredentialType", "headerParameters": { "parameters": [ { "name": "Accept", "value": "application/json" }, { "name": "Prefer", "value": "outlook.body-content-type=\"text\"" } ] }, "nodeCredentialType": "microsoftOutlookOAuth2Api" }, "credentials": { "microsoftOutlookOAuth2Api": { "id": "vTCK0oVQ0WjFrI5H", "name": " Outlook Credential" } }, "typeVersion": 4.2 }, { "id": "25ae222c-088f-4565-98d6-803c8c1b0826", "name": "Format Headers", "type": "n8n-nodes-base.code", "position": [ 1860, 720 ], "parameters": { "jsCode": "const input = $('Retrieve Headers of Email').item.json.internetMessageHeaders;\n\nconst result = input.reduce((acc, { name, value }) => {\n if (!acc[name]) acc[name] = [];\n acc[name].push(value);\n return acc;\n}, {});\n\nreturn result;" }, "typeVersion": 2 }, { "id": "8f14f267-1074-43ea-968d-26a6ab36fd7b", "name": "Set Email Variables", "type": "n8n-nodes-base.set", "position": [ 2360, 480 ], "parameters": { "options": {}, "includeOtherFields": true }, "typeVersion": 3.4 }, { "id": "45d156aa-91f4-483c-91d4-c9de4a4f595d", "name": "ChatGPT Analysis", "type": "@n8n/n8n-nodes-langchain.openAi", "position": [ 3100, 480 ], "parameters": { "text": "=Describe this image. Determine if the email could be a phishing email. The message headers are as follows:\n{{ $('Set Email Variables').item.json.headers }}\n\nFormat the response for Jira who uses a wiki-style renderer. Do not include ``` around your response.", "modelId": { "__rl": true, "mode": "list", "value": "chatgpt-4o-latest", "cachedResultName": "CHATGPT-4O-LATEST" }, "options": { "maxTokens": 1500 }, "resource": "image", "inputType": "base64", "operation": "analyze" }, "credentials": { "openAiApi": { "id": "76", "name": "OpenAi account" } }, "typeVersion": 1.6 }, { "id": "62ca591b-6627-496c-96a7-95cb0081480d", "name": "Create Jira Ticket", "type": "n8n-nodes-base.jira", "position": [ 3500, 480 ], "parameters": { "project": { "__rl": true, "mode": "list", "value": "10001", "cachedResultName": "Support" }, "summary": "=Phishing Email Reported: \"{{ $('Set Email Variables').item.json.subject }}\"", "issueType": { "__rl": true, "mode": "list", "value": "10008", "cachedResultName": "Task" }, "additionalFields": { "description": "=A phishing email was reported by {{ $('Set Email Variables').item.json.recipient }} with the subject line \"{{ $('Set Email Variables').item.json.subject }}\" and body:\n{{ $('Set Email Variables').item.json.textBody }}\n\\\\\n\\\\\n\\\\\nh2. Here is ChatGPT's analysis of the email:\n{{ $json.content }}" } }, "credentials": { "jiraSoftwareCloudApi": { "id": "BZmmGUrNIsgM9fDj", "name": "New Jira Cloud" } }, "typeVersion": 1 }, { "id": "071380c8-8070-4f8f-86c6-87c4ee3bc261", "name": "Rename Screenshot", "type": "n8n-nodes-base.code", "position": [ 3680, 480 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "$('Retrieve Screenshot').item.binary.data.fileName = 'emailScreenshot.png'\n\nreturn $('Retrieve Screenshot').item;" }, "typeVersion": 2 }, { "id": "05c57490-c1ee-48f0-9e38-244c9a995e22", "name": "Upload Screenshot of Email to Jira", "type": "n8n-nodes-base.jira", "position": [ 3860, 480 ], "parameters": { "issueKey": "={{ $('Create Jira Ticket').item.json.key }}", "resource": "issueAttachment" }, "credentials": { "jiraSoftwareCloudApi": { "id": "BZmmGUrNIsgM9fDj", "name": "New Jira Cloud" } }, "typeVersion": 1 }, { "id": "be02770d-a943-41f5-98a9-5c433a6a3dbf", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 1420, -107.36679523834897 ], "parameters": { "color": 7, "width": 792.3026315789474, "height": 426.314163659402, "content": "\n## Gmail Integration and Data Extraction\n\nThis section of the workflow connects to a Gmail account using the **Gmail Trigger** node, capturing incoming emails in real-time, with checks performed every minute. Once an email is detected, its key components—such as the subject, recipient, body, and headers—are extracted and assigned to variables using the **Set Gmail Variables** node. These variables are structured for subsequent analysis and processing in later steps." }, "typeVersion": 1 }, { "id": "c1d2f691-669a-46de-9ef8-59ce4e6980c5", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 1420, 380.6918768014301 ], "parameters": { "color": 7, "width": 792.3026315789474, "height": 532.3344389880435, "content": "\n## Microsoft Outlook Integration and Email Header Processing\n\nThis section connects to a Microsoft Outlook account to monitor incoming emails using the **Microsoft Outlook Trigger** node, which checks for new messages every minute. Emails are then processed to retrieve detailed headers and body content via the **Retrieve Headers of Email** node. The headers are structured into a user-friendly format using the **Format Headers** code node, ensuring clarity for further analysis. Key details, including the email's subject, recipient, and body content, are assigned to variables with the **Set Outlook Variables** node for streamlined integration into subsequent workflow steps." }, "typeVersion": 1 }, { "id": "c189e2e0-9f51-4bc0-a483-8b7f0528be70", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 2287.3684210526317, 46.18421052631584 ], "parameters": { "color": 7, "width": 580.4605263157906, "height": 615.460526315789, "content": "\n## HTML Screenshot Generation and Email Visualization\n\nThis section processes an email’s HTML content to create a visual representation, useful for documentation or phishing detection workflows. The **Set Email Variables** node organizes the email's HTML body into a format ready for processing. The **Screenshot HTML** node sends this HTML content to the **hcti.io** API, which generates a screenshot of the email's layout. The **Retrieve Screenshot** node then fetches the image URL for further use in the workflow. This setup ensures that the email's appearance is preserved in a visually accessible format, simplifying review and reporting. Keep in mind however that this exposes the email content to a third party. If you self host n8n, you can deploy a cli tool to rasterize locally instead." }, "typeVersion": 1 }, { "id": "9076f9e9-f4fb-409a-9580-1ae459094c31", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 2880, 123.72476075009968 ], "parameters": { "color": 7, "width": 507.82894736842223, "height": 537.9199760920052, "content": "\n## AI-Powered Email Analysis with ChatGPT\n\nThis section leverages AI to analyze email content and headers for phishing indicators. The **ChatGPT Analysis** node utilizes the ChatGPT-4 model to review the email screenshot and associated metadata, including message headers. It generates a detailed report indicating whether the email might be a phishing attempt. The output is formatted specifically for Jira’s wiki-style renderer, making it ready for seamless integration into ticketing workflows. This ensures thorough and automated email threat assessments." }, "typeVersion": 1 }, { "id": "ca2488af-e787-4675-802a-8b4f2d845376", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 3400, 122.88662032580646 ], "parameters": { "color": 7, "width": 692.434210526317, "height": 529.5475902005091, "content": "\n## Automated Jira Ticket Creation for Phishing Reports\n\nThis section streamlines the process of reporting phishing emails by automatically creating detailed Jira tickets. The **Create Jira Ticket** node compiles email information, including the subject, recipient, body text, and ChatGPT's phishing analysis, into a structured ticket. The **Rename Screenshot** node ensures that the email screenshot file is appropriately labeled for attachment. Finally, the **Upload Screenshot of Email to Jira** node attaches the email’s visual representation to the ticket, providing additional context for the security team. This integration ensures that phishing reports are logged with all necessary details, enabling efficient tracking and resolution." }, "typeVersion": 1 } ], "pinData": {}, "connections": { "Gmail Trigger": { "main": [ [ { "node": "Set Gmail Variables", "type": "main", "index": 0 } ] ] }, "Format Headers": { "main": [ [ { "node": "Set Outlook Variables", "type": "main", "index": 0 } ] ] }, "Screenshot HTML": { "main": [ [ { "node": "Retrieve Screenshot", "type": "main", "index": 0 } ] ] }, "ChatGPT Analysis": { "main": [ [ { "node": "Create Jira Ticket", "type": "main", "index": 0 } ] ] }, "Rename Screenshot": { "main": [ [ { "node": "Upload Screenshot of Email to Jira", "type": "main", "index": 0 } ] ] }, "Create Jira Ticket": { "main": [ [ { "node": "Rename Screenshot", "type": "main", "index": 0 } ] ] }, "Retrieve Screenshot": { "main": [ [ { "node": "ChatGPT Analysis", "type": "main", "index": 0 } ] ] }, "Set Email Variables": { "main": [ [ { "node": "Screenshot HTML", "type": "main", "index": 0 } ] ] }, "Set Gmail Variables": { "main": [ [ { "node": "Set Email Variables", "type": "main", "index": 0 } ] ] }, "Set Outlook Variables": { "main": [ [ { "node": "Set Email Variables", "type": "main", "index": 0 } ] ] }, "Microsoft Outlook Trigger": { "main": [ [ { "node": "Retrieve Headers of Email", "type": "main", "index": 0 } ] ] }, "Retrieve Headers of Email": { "main": [ [ { "node": "Format Headers", "type": "main", "index": 0 } ] ] } } } ================================================ FILE: Gmail_and_Email_Automation/Auto Categorise Outlook Emails with AI.json ================================================ { "meta": { "instanceId": "67d4d33d8b0ad4e5e12f051d8ad92fc35893d7f48d7f801bc6da4f39967b3592" }, "nodes": [ { "id": "30f5203b-469d-4f0c-8493-e8f08e14e4fe", "name": "When clicking ‘Test workflow’", "type": "n8n-nodes-base.manualTrigger", "position": [ -560, 440 ], "parameters": {}, "typeVersion": 1 }, { "id": "d16f59dd-f54e-487b-9aac-67f109ba9869", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [ 1000, -280 ], "parameters": { "color": 7, "width": 727.9032097745135, "height": 110.58643966444157, "content": "# Auto Categorise Outlook Emails with AI\nBuilt by [Wayne Simpson](https://www.linkedin.com/in/simpsonwayne/) at [nocodecreative.io](https://nocodecreative.io)" }, "typeVersion": 1 }, { "id": "4e110412-8530-4322-bc5c-7f9df2b63bcb", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ 1100, -120 ], "parameters": { "color": 7, "width": 506.8102696237577, "height": 337.24177957113216, "content": "### Watch Set Up Video 👇\n[](https://www.youtube.com/watch?v=EhRBkkjv_3c)\n\n" }, "typeVersion": 1 }, { "id": "9d79875f-148e-46ef-967a-95c07298456d", "name": "Ollama Chat Model1", "type": "@n8n/n8n-nodes-langchain.lmChatOllama", "position": [ 1129, 684 ], "parameters": { "model": "qwen2.5:14b", "options": { "temperature": 0.2 } }, "typeVersion": 1 }, { "id": "bcf92a71-ff5f-46a7-bec3-cedb5be2bf98", "name": "Microsoft Outlook10", "type": "n8n-nodes-base.microsoftOutlook", "position": [ 3020, 8 ], "parameters": { "folderId": { "__rl": true, "mode": "list", "value": "AQMkAGE3ZTU5MGMzLTFkNGItNGQ5Zi04MDQ1LThmNGFlMTVhYjMwYgAuAAAD8UhruVwm402lgPBG2Tj-aQEAnz-IOcWBGE2lrVuQgAF6zAAAAgFJAAAA", "cachedResultUrl": "https://outlook.office365.com/mail/AQMkAGE3ZTU5MGMzLTFkNGItNGQ5Zi04MDQ1LThmNGFlMTVhYjMwYgAuAAAD8UhruVwm402lgPBG2Tj%2FaQEAnz%2FIOcWBGE2lrVuQgAF6zAAAAgFJAAAA", "cachedResultName": "Junk Email" }, "messageId": { "__rl": true, "mode": "id", "value": "={{ $('varID & Category1').item.json.id }}" }, "operation": "move" }, "typeVersion": 2 }, { "id": "100db1cb-3819-43c7-a74b-5c087ad4f2da", "name": "Microsoft Outlook12", "type": "n8n-nodes-base.microsoftOutlook", "position": [ 2700, 8 ], "parameters": { "messageId": { "__rl": true, "mode": "id", "value": "={{ $('varID & Category1').item.json.id }}" }, "operation": "update", "updateFields": { "categories": "={{ \n [$('varJSON1').first().json.output.category, $('varJSON1').first().json.output.subCategory]\n .filter(item => item && item.trim() !== \"\")\n .map(item => item.charAt(0).toUpperCase() + item.slice(1))\n}}" } }, "typeVersion": 2 }, { "id": "d4969259-a3ae-473d-82ef-0c9f7933c899", "name": "Loop Over Items1", "type": "n8n-nodes-base.splitInBatches", "position": [ 160, 448 ], "parameters": { "options": {} }, "typeVersion": 3 }, { "id": "524f6be3-7708-4aae-b9ab-e0ef8180a627", "name": "Microsoft Outlook13", "type": "n8n-nodes-base.microsoftOutlook", "position": [ 2700, 188 ], "parameters": { "messageId": { "__rl": true, "mode": "id", "value": "={{ $('varID & Category1').item.json.id }}" }, "operation": "update", "updateFields": { "categories": "={{ \n [$('varJSON1').first().json.output.category, $('varJSON1').first().json.output.subCategory]\n .filter(item => item && item.trim() !== \"\")\n .map(item => item.charAt(0).toUpperCase() + item.slice(1))\n}}" } }, "typeVersion": 2 }, { "id": "72cb54f3-4e4e-4ad2-8845-11a38fc29f1a", "name": "Microsoft Outlook15", "type": "n8n-nodes-base.microsoftOutlook", "position": [ 3020, 188 ], "parameters": { "folderId": { "__rl": true, "mode": "list", "value": "AQMkAGE3ZTU5MGMzLTFkNGItNGQ5Zi04MDQ1LThmNGFlMTVhYjMwYgAuAAAD8UhruVwm402lgPBG2Tj-aQEAnz-IOcWBGE2lrVuQgAF6zAADLJmrBwAAAA==", "cachedResultUrl": "https://outlook.office365.com/mail/AQMkAGE3ZTU5MGMzLTFkNGItNGQ5Zi04MDQ1LThmNGFlMTVhYjMwYgAuAAAD8UhruVwm402lgPBG2Tj%2FaQEAnz%2FIOcWBGE2lrVuQgAF6zAADLJmrBwAAAA%3D%3D", "cachedResultName": "Receipt" }, "messageId": { "__rl": true, "mode": "id", "value": "={{ $('varID & Category1').item.json.id }}" }, "operation": "move" }, "typeVersion": 2 }, { "id": "e4446e84-c05e-4d04-b415-7608e39024ee", "name": "Microsoft Outlook16", "type": "n8n-nodes-base.microsoftOutlook", "position": [ 2709, 504 ], "parameters": { "messageId": { "__rl": true, "mode": "id", "value": "={{ $('varID & Category1').item.json.id }}" }, "operation": "update", "updateFields": { "categories": "={{ \n [$('varJSON1').first().json.output.category, $('varJSON1').first().json.output.subCategory]\n .filter(item => item && item.trim() !== \"\")\n .map(item => item.charAt(0).toUpperCase() + item.slice(1))\n}}" } }, "typeVersion": 2 }, { "id": "3ee05cfe-a528-472e-aa3d-c890fd88b6c4", "name": "Microsoft Outlook17", "type": "n8n-nodes-base.microsoftOutlook", "position": [ 3020, 508 ], "parameters": { "folderId": { "__rl": true, "mode": "list", "value": "AQMkAGE3ZTU5MGMzLTFkNGItNGQ5Zi04MDQ1LThmNGFlMTVhYjMwYgAuAAAD8UhruVwm402lgPBG2Tj-aQEAnz-IOcWBGE2lrVuQgAF6zAADLJmrCAAAAA==", "cachedResultUrl": "https://outlook.office365.com/mail/AQMkAGE3ZTU5MGMzLTFkNGItNGQ5Zi04MDQ1LThmNGFlMTVhYjMwYgAuAAAD8UhruVwm402lgPBG2Tj%2FaQEAnz%2FIOcWBGE2lrVuQgAF6zAADLJmrCAAAAA%3D%3D", "cachedResultName": "Community" }, "messageId": { "__rl": true, "mode": "id", "value": "={{ $('varID & Category1').item.json.id }}" }, "operation": "move" }, "typeVersion": 2 }, { "id": "2fcecd9e-95cc-489a-b874-699c54518e44", "name": "Microsoft Outlook18", "type": "n8n-nodes-base.microsoftOutlook", "position": [ 2709, 344 ], "parameters": { "messageId": { "__rl": true, "mode": "id", "value": "={{ $('varID & Category1').item.json.id }}" }, "operation": "update", "updateFields": { "categories": "={{ \n [$('varJSON1').first().json.output.category, $('varJSON1').first().json.output.subCategory]\n .filter(item => item && item.trim() !== \"\")\n .map(item => item.charAt(0).toUpperCase() + item.slice(1))\n}}" } }, "typeVersion": 2 }, { "id": "41a39309-1a94-461f-9308-63dd5b9a94a7", "name": "Microsoft Outlook19", "type": "n8n-nodes-base.microsoftOutlook", "position": [ 3020, 348 ], "parameters": { "folderId": { "__rl": true, "mode": "list", "value": "AQMkAGE3ZTU5MGMzLTFkNGItNGQ5Zi04MDQ1LThmNGFlMTVhYjMwYgAuAAAD8UhruVwm402lgPBG2Tj-aQEAnz-IOcWBGE2lrVuQgAF6zAADLJmrCQAAAA==", "cachedResultUrl": "https://outlook.office365.com/mail/AQMkAGE3ZTU5MGMzLTFkNGItNGQ5Zi04MDQ1LThmNGFlMTVhYjMwYgAuAAAD8UhruVwm402lgPBG2Tj%2FaQEAnz%2FIOcWBGE2lrVuQgAF6zAADLJmrCQAAAA%3D%3D", "cachedResultName": "SaaS" }, "messageId": { "__rl": true, "mode": "id", "value": "={{ $('varID & Category1').item.json.id }}" }, "operation": "move" }, "typeVersion": 2 }, { "id": "ebf606f9-099c-4218-b23b-66e2487262d0", "name": "Markdown1", "type": "n8n-nodes-base.markdown", "notes": "Converts the body of the email to markdown", "position": [ 420, 468 ], "parameters": { "html": "={{ $('Loop Over Items1').item.json.body.content }}", "options": {} }, "notesInFlow": true, "typeVersion": 1 }, { "id": "ff447dd5-3ef6-4a02-8453-3489af8bf6b5", "name": "varEmal1", "type": "n8n-nodes-base.set", "notes": "Set email fields", "position": [ 620, 468 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "edb304e1-3e9f-4a77-918c-25646addbc53", "name": "subject", "type": "string", "value": "={{ $json.subject }}" }, { "id": "57a3ef3a-2701-40d9-882f-f43a7219f148", "name": "importance", "type": "string", "value": "={{ $json.importance }}" }, { "id": "d8317f4f-aa0e-4196-89af-cb016765490a", "name": "sender", "type": "object", "value": "={{ $json.sender.emailAddress }}" }, { "id": "908716c8-9ff7-4bdc-a1a3-64227559635e", "name": "from", "type": "object", "value": "={{ $json.from.emailAddress }}" }, { "id": "ce007329-e221-4c5a-8130-2f8e9130160f", "name": "body", "type": "string", "value": "={{ $json.data\n .replace(/<[^>]*>/g, '') // Remove HTML tags\n .replace(/\\[(.*?)\\]\\((.*?)\\)/g, '') // Remove Markdown links like [text](link)\n .replace(/!\\[.*?\\]\\(.*?\\)/g, '') // Remove Markdown images like \n .replace(/\\|/g, '') // Remove table separators \"|\"\n .replace(/-{3,}/g, '') // Remove horizontal rule \"---\"\n .replace(/\\n+/g, ' ') // Remove multiple newlines\n .replace(/([^\\w\\s.,!?@])/g, '') // Remove special characters except essential ones\n .replace(/\\s{2,}/g, ' ') // Replace multiple spaces with a single space\n .trim() // Trim leading/trailing whitespace\n}}\n" } ] } }, "typeVersion": 3.4 }, { "id": "198524cb-c9f0-4261-8c38-7c878efe7457", "name": "Microsoft Outlook20", "type": "n8n-nodes-base.microsoftOutlook", "position": [ 2700, 668 ], "parameters": { "messageId": { "__rl": true, "mode": "id", "value": "={{ $('varID & Category1').item.json.id }}" }, "operation": "update", "updateFields": { "categories": "={{ \n [$('varJSON1').first().json.output.category, $('varJSON1').first().json.output.subCategory]\n .filter(item => item && item.trim() !== \"\")\n .map(item => item.charAt(0).toUpperCase() + item.slice(1))\n}}" } }, "typeVersion": 2 }, { "id": "ec73629c-59ac-4f0e-a432-2c06934952ab", "name": "Microsoft Outlook21", "type": "n8n-nodes-base.microsoftOutlook", "position": [ 2709, 1044 ], "parameters": { "messageId": { "__rl": true, "mode": "id", "value": "={{ $('varID & Category1').item.json.id }}" }, "operation": "update", "updateFields": { "categories": "={{ \n [$('varJSON1').first().json.output.category, $('varJSON1').first().json.output.subCategory]\n .filter(item => item && item.trim() !== \"\")\n .map(item => item.charAt(0).toUpperCase() + item.slice(1))\n}}" } }, "typeVersion": 2 }, { "id": "0a19d15c-0cd3-4f26-9be2-4914522751fb", "name": "Filter1", "type": "n8n-nodes-base.filter", "position": [ -100, 448 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "c8cd6917-f94e-4fb7-8601-b8ed8f1aa8bf", "operator": { "type": "array", "operation": "empty", "singleValue": true }, "leftValue": "={{ $json.categories }}", "rightValue": "" } ] } }, "typeVersion": 2.2 }, { "id": "96e6e31c-6306-44a8-a57a-2b5216636b00", "name": "If1", "type": "n8n-nodes-base.if", "notes": "Checks if the email has been read", "position": [ 3320, 668 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "f8cf2a56-cea8-4150-b7a0-048dbda20f2f", "operator": { "type": "boolean", "operation": "true", "singleValue": true }, "leftValue": "={{ $json.isRead }}", "rightValue": "" } ] } }, "typeVersion": 2.2 }, { "id": "8a6e0118-abe3-45e2-aefc-94640348b2ec", "name": "Microsoft Outlook22", "type": "n8n-nodes-base.microsoftOutlook", "position": [ 2709, 864 ], "parameters": { "messageId": { "__rl": true, "mode": "id", "value": "={{ $('varID & Category1').item.json.id }}" }, "operation": "update", "updateFields": { "categories": "={{ \n [$('varJSON1').first().json.output.category, $('varJSON1').first().json.output.subCategory]\n .filter(item => item && item.trim() !== \"\")\n .map(item => item.charAt(0).toUpperCase() + item.slice(1))\n}}" } }, "typeVersion": 2 }, { "id": "e2d8e7b5-4447-4327-9f4e-b8d52765667e", "name": "Catch Errors1", "type": "n8n-nodes-base.set", "position": [ 1760, 608 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "0dc6d439-60fb-49f6-b4d5-f5cce6f030ad", "name": "error", "type": "string", "value": "={{ $json }}" } ] } }, "typeVersion": 3.4 }, { "id": "17f6ac43-51e4-4bee-b0d8-13deb3bf3cc9", "name": "varJSON1", "type": "n8n-nodes-base.set", "onError": "continueErrorOutput", "position": [ 1540, 468 ], "parameters": { "options": { "ignoreConversionErrors": true }, "assignments": { "assignments": [ { "id": "0c52f57f-74eb-4385-ac6b-f3e5f4f50e73", "name": "output", "type": "object", "value": "={{ $json.output.replace(/^.*?({.*}).*$/s, '$1') }}" } ] } }, "typeVersion": 3.4 }, { "id": "82dd9631-a34b-4d54-be28-6f8dcc3548f0", "name": "Sticky Note10", "type": "n8n-nodes-base.stickyNote", "position": [ -360, 220 ], "parameters": { "width": 411.91693012378937, "height": 401.49417117683515, "content": "## Outlook Business with filters\nFilters:\n```\nflag/flagStatus eq 'notFlagged' and not categories/any()\n```\n\nThese filters ensure we do not process flagged emails or email that already have a category set." }, "typeVersion": 1 }, { "id": "0583e196-37a5-43db-8c0a-aa624029c926", "name": "Microsoft Outlook23", "type": "n8n-nodes-base.microsoftOutlook", "position": [ -300, 448 ], "parameters": { "limit": 1, "fields": [ "flag", "from", "importance", "replyTo", "sender", "subject", "toRecipients", "body", "categories", "isRead" ], "output": "fields", "options": {}, "filtersUI": { "values": { "filters": { "custom": "flag/flagStatus eq 'notFlagged' and not categories/any()", "foldersToInclude": [ "AQMkAGE3ZTU5MGMzLTFkNGItNGQ5Zi04MDQ1LThmNGFlMTVhYjMwYgAuAAAD8UhruVwm402lgPBG2Tj-aQEAnz-IOcWBGE2lrVuQgAF6zAAAAgEMAAAA" ] } } }, "operation": "getAll" }, "typeVersion": 2 }, { "id": "a9540e6b-929b-4460-8972-93e4d19cd934", "name": "varID & Category1", "type": "n8n-nodes-base.set", "position": [ 900, 468 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "de2ad4f2-7381-4715-a3f4-59611e161b74", "name": "id", "type": "string", "value": "={{ $('Microsoft Outlook23').item.json.id }}" }, { "id": "458c7a89-e4a3-46d0-8b38-72d87748e306", "name": "category", "type": "string", "value": "\"action\", \"junk\", \"receipt\", \"SaaS\", \"community\", \"business\" or \"other\"" } ] } }, "typeVersion": 3.4 }, { "id": "e6b3b41e-d7d3-4c9b-8189-a005c748ff18", "name": "Sticky Note11", "type": "n8n-nodes-base.stickyNote", "position": [ 360, 348 ], "parameters": { "color": 6, "width": 418.7820408163265, "height": 301.40952380952365, "content": "## Sanitise Email \nRemoves HTML and useless information in preparation for the AI Agent" }, "typeVersion": 1 }, { "id": "f9787a75-526c-4ef1-b0a7-0db7d890ab3f", "name": "Sticky Note12", "type": "n8n-nodes-base.stickyNote", "position": [ 820, 348 ], "parameters": { "color": 6, "width": 256.16108843537415, "height": 298.37931972789124, "content": "## Modify Categories \nEdit this to customise category selection" }, "typeVersion": 1 }, { "id": "50223a01-34cf-4191-9dd7-3dac02a9e945", "name": "Sticky Note13", "type": "n8n-nodes-base.stickyNote", "position": [ 1480, 328 ], "parameters": { "color": 5, "width": 441.003537414966, "height": 463.0204081632651, "content": "## Convert to JSON\n* Ensures the Agent output to converted to JSON\n* Catches any errors and continues processing" }, "typeVersion": 1 }, { "id": "4580c532-96a6-46b4-8922-d79316d1cc01", "name": "Sticky Note14", "type": "n8n-nodes-base.stickyNote", "position": [ 2120, 328 ], "parameters": { "color": 5, "width": 311.71482993197264, "height": 454.93986394557805, "content": "## Switch Categories\nEnsure your categories match the **varID & Category** Edit Fields node" }, "typeVersion": 1 }, { "id": "b51a7c34-2a5e-4670-81a4-d1582711c69a", "name": "Sticky Note15", "type": "n8n-nodes-base.stickyNote", "position": [ 2629, -76 ], "parameters": { "color": 4, "width": 251.3480889735252, "height": 1289.0156245602684, "content": "## Set Categories\n" }, "typeVersion": 1 }, { "id": "3a7ede7b-539b-49d2-8803-153ca6c9eb69", "name": "Sticky Note16", "type": "n8n-nodes-base.stickyNote", "position": [ 2949, -76 ], "parameters": { "color": 4, "width": 251.3480889735252, "height": 770.995811762121, "content": "## Move to Folders\n" }, "typeVersion": 1 }, { "id": "ee9a9d78-8c07-470a-9d1b-ceddfc8875ca", "name": "Sticky Note17", "type": "n8n-nodes-base.stickyNote", "position": [ 3260, 553 ], "parameters": { "color": 4, "height": 293.65527013262994, "content": "## Check if email has been read\n\n" }, "typeVersion": 1 }, { "id": "c75b9d38-79a7-4be2-a90b-a99da1bbd745", "name": "Microsoft Outlook Move Message1", "type": "n8n-nodes-base.microsoftOutlook", "position": [ 3609, 604 ], "parameters": { "folderId": { "__rl": true, "mode": "list", "value": "AQMkAGE3ZTU5MGMzLTFkNGItNGQ5Zi04MDQ1LThmNGFlMTVhYjMwYgAuAAAD8UhruVwm402lgPBG2Tj-aQEAnz-IOcWBGE2lrVuQgAF6zAADLJmrCwAAAA==", "cachedResultUrl": "https://outlook.office365.com/mail/AQMkAGE3ZTU5MGMzLTFkNGItNGQ5Zi04MDQ1LThmNGFlMTVhYjMwYgAuAAAD8UhruVwm402lgPBG2Tj%2FaQEAnz%2FIOcWBGE2lrVuQgAF6zAADLJmrCwAAAA%3D%3D", "cachedResultName": "Actioned" }, "messageId": { "__rl": true, "mode": "id", "value": "={{ $('varID & Category1').item.json.id }}" }, "operation": "move" }, "typeVersion": 2 }, { "id": "85ff0348-16dc-46e6-bf70-48a10fe0ded8", "name": "AI Agent1", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1160, 468 ], "parameters": { "text": "=Categorise the following email\nMESSAGE
\n{{ $('Email Trigger (IMAP)').item.json.textHtml }}\n\nAI RESPONSE
\n{{ $json.email }}", "options": {}, "subject": "=[Approval Required] {{ $('Email Trigger (IMAP)').item.json.subject }}", "operation": "sendAndWait", "responseType": "freeText" }, "credentials": { "gmailOAuth2": { "id": "nyuHvSX5HuqfMPlW", "name": "Gmail account (n3w.it)" } }, "typeVersion": 2.1 }, { "id": "aaccc4a6-ce53-4813-8247-65bd1a9d5639", "name": "Text Classifier", "type": "@n8n/n8n-nodes-langchain.textClassifier", "position": [ -60, -180 ], "parameters": { "options": { "systemPromptTemplate": "Please classify the text provided by the user into one of the following categories: {categories}, and use the provided formatting instructions below. Don't explain, and only output the json." }, "inputText": "={{ $json.data.text }}", "categories": { "categories": [ { "category": "Approved", "description": "The email has been reviewed and accepted as-is. The human explicitly or implicity express approva, indicating that no changes ar needed.\n\nExample:\n\"Ok\",\n\"Approvato\",\n\"Invia\"" }, { "category": "Declined", "description": "The email has been reviewd, but the human request modifications before it sent link tweaks, removing parts, rewording etc... This could include suggested edits, rewording or major revision." } ] } }, "typeVersion": 1 }, { "id": "b46de5d9-1a2e-4d28-930b-e18fb1d7876e", "name": "Edit Fields", "type": "n8n-nodes-base.set", "position": [ -580, -180 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "35d7c303-42f4-4dd1-b41e-6eb087c23c3d", "name": "email", "type": "string", "value": "={{ $json.output }}" } ] } }, "typeVersion": 3.4 }, { "id": "36ce51c6-8ee1-4230-84c0-40e259eafb1a", "name": "When clicking ‘Test workflow’", "type": "n8n-nodes-base.manualTrigger", "position": [ -1340, -1300 ], "parameters": {}, "typeVersion": 1 }, { "id": "21a0c991-65dc-483e-9b98-5cedaba7ae13", "name": "Create collection", "type": "n8n-nodes-base.httpRequest", "position": [ -1040, -1440 ], "parameters": { "url": "https://QDRANTURL/collections/COLLECTION", "method": "POST", "options": {}, "jsonBody": "{\n \"filter\": {}\n}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" } ] } }, "credentials": { "httpHeaderAuth": { "id": "qhny6r5ql9wwotpn", "name": "Qdrant API (Hetzner)" } }, "typeVersion": 4.2 }, { "id": "9a048d7d-bcdf-40b7-b33a-94b811083eac", "name": "Refresh collection", "type": "n8n-nodes-base.httpRequest", "position": [ -1040, -1180 ], "parameters": { "url": "https://QDRANTURL/collections/COLLECTION/points/delete", "method": "POST", "options": {}, "jsonBody": "{\n \"filter\": {}\n}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" } ] } }, "credentials": { "httpHeaderAuth": { "id": "qhny6r5ql9wwotpn", "name": "Qdrant API (Hetzner)" } }, "typeVersion": 4.2 }, { "id": "db494d2d-5390-4f83-9b87-3409fef31a7d", "name": "Get folder", "type": "n8n-nodes-base.googleDrive", "position": [ -820, -1180 ], "parameters": { "filter": { "driveId": { "__rl": true, "mode": "list", "value": "My Drive", "cachedResultUrl": "https://drive.google.com/drive/my-drive", "cachedResultName": "My Drive" }, "folderId": { "__rl": true, "mode": "id", "value": "=test-whatsapp" } }, "options": {}, "resource": "fileFolder" }, "credentials": { "googleDriveOAuth2Api": { "id": "HEy5EuZkgPZVEa9w", "name": "Google Drive account" } }, "typeVersion": 3 }, { "id": "e30dbe6f-482e-47f9-b5b8-62c1113e6c8b", "name": "Download Files", "type": "n8n-nodes-base.googleDrive", "position": [ -600, -1180 ], "parameters": { "fileId": { "__rl": true, "mode": "id", "value": "={{ $json.id }}" }, "options": { "googleFileConversion": { "conversion": { "docsToFormat": "text/plain" } } }, "operation": "download" }, "credentials": { "googleDriveOAuth2Api": { "id": "HEy5EuZkgPZVEa9w", "name": "Google Drive account" } }, "typeVersion": 3 }, { "id": "492d48d8-4997-4f04-902b-041da3210417", "name": "Default Data Loader", "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader", "position": [ -200, -980 ], "parameters": { "options": {}, "dataType": "binary" }, "typeVersion": 1 }, { "id": "0cf45d10-3cbf-4eb6-ab30-11f264b3aa8d", "name": "Token Splitter", "type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter", "position": [ -240, -820 ], "parameters": { "chunkSize": 300, "chunkOverlap": 30 }, "typeVersion": 1 }, { "id": "7d60f569-c34e-49a8-ba9a-88cf33083136", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ -840, -1500 ], "parameters": { "color": 6, "width": 880, "height": 220, "content": "# STEP 1\n\n## Create Qdrant Collection\nChange:\n- QDRANTURL\n- COLLECTION" }, "typeVersion": 1 }, { "id": "e86b18c4-d7e8-4e81-b520-dbd8125edf38", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -1060, -1240 ], "parameters": { "color": 4, "width": 620, "height": 400, "content": "# STEP 2\n\n\n\n\n\n\n\n\n\n\n\n\n## Documents vectorization with Qdrant and Google Drive\nChange:\n- QDRANTURL\n- COLLECTION" }, "typeVersion": 1 }, { "id": "05f65120-ef31-4c67-ac18-e68a8353909c", "name": "Qdrant Vector Store1", "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant", "position": [ -360, -1180 ], "parameters": { "mode": "insert", "options": {}, "qdrantCollection": { "__rl": true, "mode": "id", "value": "=COLLECTION" } }, "credentials": { "qdrantApi": { "id": "iyQ6MQiVaF3VMBmt", "name": "QdrantApi account" } }, "typeVersion": 1 }, { "id": "c15fd52f-b142-408e-af06-aeed10a1cf85", "name": "Embeddings OpenAI1", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [ -380, -980 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "id": "CDX6QM4gLYanh0P4", "name": "OpenAi account" } }, "typeVersion": 1.1 }, { "id": "3e47224f-3deb-450b-b825-f16c5f860f28", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -2020, -600 ], "parameters": { "color": 3, "width": 580, "height": 260, "content": "# STEP 3 - MAIN FLOW\n\n\n## How it works\nThis workflow automates the handling of incoming emails, summarizes their content, generates appropriate responses using a retrieval-augmented generation (RAG) approach, and obtains approval or suggestions before sending replies. \n\nYou can quickly integrate Gmail and Outlook via the appropriate trigger nodes" }, "typeVersion": 1 }, { "id": "63097039-58cb-4e0f-9fb6-6bf868275519", "name": "DeepSeek Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatDeepSeek", "position": [ -1560, 40 ], "parameters": { "options": {} }, "credentials": { "deepSeekApi": { "id": "sxh1rfZxonXV83hS", "name": "DeepSeek account" } }, "typeVersion": 1 }, { "id": "c86d6eeb-cf08-429f-b5b4-60b317071035", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -1500, -260 ], "parameters": { "width": 320, "height": 240, "content": "Chain that summarizes the received email" }, "typeVersion": 1 }, { "id": "4afc8b00-d1e5-473c-a71e-1299c84c546e", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ -1060, -260 ], "parameters": { "width": 340, "height": 240, "content": "Agent that retrieves business information from a vector database and processes the response" }, "typeVersion": 1 }, { "id": "be1762ff-729b-4b83-9139-16f835b748f2", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -1800, -260 ], "parameters": { "height": 240, "content": "Convert email to Markdown format for better understanding of LLM models" }, "typeVersion": 1 }, { "id": "f818ede7-895a-4860-91d3-f08cc32ec0e3", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ -380, -380 ], "parameters": { "color": 4, "height": 360, "content": "## IMPORTANT\n\nFor the \"Send Draft\" node, you need to send the draft email to a Gmail address because it is the only one that allows the \"Send and wait for response\" function." }, "typeVersion": 1 }, { "id": "929b525a-912b-4f7b-a6e7-dfeb88a446c8", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [ -100, -260 ], "parameters": { "width": 360, "height": 240, "content": "Based on the suggestion received, the text classifier can understand whether the feedback received approves the generated email or not." }, "typeVersion": 1 }, { "id": "2468e643-013f-4925-ab35-c8ef4ee6eed2", "name": "Email Reviewer", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 380, -40 ], "parameters": { "text": "=Review at the following email:\n{{ $('Edit Fields').item.json.email }}\n\nFeedback from human:\n{{ $json.data.text }}", "options": { "systemMessage": "If you are an expert in reviewing emails before sending them. You need to review and structure them in such a way that you can send them. It must be in HTML format and you can insert (if you think it is appropriate) only HTML characters such as, , ,
where necessary. Be concise and never exceed 100 words. Only the body of the email" }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.7 }, { "id": "ecd9d3f8-2e79-4e5f-a73d-48de60441376", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [ 340, -120 ], "parameters": { "width": 340, "height": 220, "content": "The Email Reviewer agent, taking inspiration from human feedback, rewrites the email" }, "typeVersion": 1 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "de11da52-1513-4797-8070-b64e84b84158", "connections": { "Gmail": { "main": [ [ { "node": "Text Classifier", "type": "main", "index": 0 } ] ] }, "OpenAI": { "ai_languageModel": [ [ { "node": "Write email", "type": "ai_languageModel", "index": 0 }, { "node": "Email Reviewer", "type": "ai_languageModel", "index": 0 }, { "node": "Text Classifier", "type": "ai_languageModel", "index": 0 } ] ] }, "Markdown": { "main": [ [ { "node": "Email Summarization Chain", "type": "main", "index": 0 } ] ] }, "Get folder": { "main": [ [ { "node": "Download Files", "type": "main", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "Gmail", "type": "main", "index": 0 } ] ] }, "Write email": { "main": [ [ { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Download Files": { "main": [ [ { "node": "Qdrant Vector Store1", "type": "main", "index": 0 } ] ] }, "Email Reviewer": { "main": [ [ { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Token Splitter": { "ai_textSplitter": [ [ { "node": "Default Data Loader", "type": "ai_textSplitter", "index": 0 } ] ] }, "Text Classifier": { "main": [ [ { "node": "Send Email", "type": "main", "index": 0 } ], [ { "node": "Email Reviewer", "type": "main", "index": 0 } ] ] }, "Embeddings OpenAI": { "ai_embedding": [ [ { "node": "Qdrant Vector Store", "type": "ai_embedding", "index": 0 } ] ] }, "Embeddings OpenAI1": { "ai_embedding": [ [ { "node": "Qdrant Vector Store1", "type": "ai_embedding", "index": 0 } ] ] }, "Refresh collection": { "main": [ [ { "node": "Get folder", "type": "main", "index": 0 } ] ] }, "DeepSeek Chat Model": { "ai_languageModel": [ [ { "node": "Email Summarization Chain", "type": "ai_languageModel", "index": 0 } ] ] }, "Default Data Loader": { "ai_document": [ [ { "node": "Qdrant Vector Store1", "type": "ai_document", "index": 0 } ] ] }, "Qdrant Vector Store": { "ai_tool": [ [ { "node": "Write email", "type": "ai_tool", "index": 0 }, { "node": "Email Reviewer", "type": "ai_tool", "index": 0 } ] ] }, "Email Trigger (IMAP)": { "main": [ [ { "node": "Markdown", "type": "main", "index": 0 } ] ] }, "Email Summarization Chain": { "main": [ [ { "node": "Write email", "type": "main", "index": 0 } ] ] }, "When clicking ‘Test workflow’": { "main": [ [ { "node": "Create collection", "type": "main", "index": 0 }, { "node": "Refresh collection", "type": "main", "index": 0 } ] ] } } } ================================================ FILE: Gmail_and_Email_Automation/Email Summary Agent.json ================================================ { "id": "M8oLW9Qd59zNJzg2", "meta": { "instanceId": "1abe0e4c2be794795d12bf72aa530a426a6f87aabad209ed6619bcaf0f666fb0", "templateCredsSetupCompleted": true }, "name": "Email Summary Agent", "tags": [ { "id": "G1v7CnFpOHsReVhM", "name": "Product", "createdAt": "2025-01-13T17:04:34.969Z", "updatedAt": "2025-01-13T17:04:34.969Z" }, { "id": "RagrXIh5iBDseqvj", "name": "AI", "createdAt": "2025-01-09T09:18:12.756Z", "updatedAt": "2025-01-09T09:18:12.756Z" }, { "id": "Yg2lfYteJZAoIeaC", "name": "Building blocks", "createdAt": "2025-01-13T17:05:49.788Z", "updatedAt": "2025-01-13T17:05:49.788Z" }, { "id": "ZuS1C3NpE8uBlFq4", "name": "Finance", "createdAt": "2025-01-13T17:05:03.996Z", "updatedAt": "2025-01-13T17:05:03.996Z" }, { "id": "aqlZb2qfWiaT4Xr5", "name": "IT Ops", "createdAt": "2025-01-03T12:20:11.917Z", "updatedAt": "2025-01-03T12:20:11.917Z" }, { "id": "fX8hRnEv4D8sLSzF", "name": "OpenAI", "createdAt": "2025-01-09T09:18:12.757Z", "updatedAt": "2025-01-09T09:18:12.757Z" }, { "id": "j1qBXzFADkR3sHSa", "name": "Marketing", "createdAt": "2025-01-13T17:03:54.468Z", "updatedAt": "2025-01-13T17:03:54.468Z" }, { "id": "x3OVvOuZkLx1hYpW", "name": "Support", "createdAt": "2025-01-13T17:05:40.900Z", "updatedAt": "2025-01-13T17:05:40.900Z" }, { "id": "xBOhq1kP3lza5ajE", "name": "HR", "createdAt": "2025-01-13T17:04:57.045Z", "updatedAt": "2025-01-13T17:04:57.045Z" }, { "id": "yy04JQqCaXepPdSa", "name": "Project Management", "createdAt": "2024-10-30T18:27:57.309Z", "updatedAt": "2024-10-30T18:27:57.309Z" }, { "id": "zJaZorWWcGpTp35U", "name": "DevOps", "createdAt": "2025-01-03T12:19:34.273Z", "updatedAt": "2025-01-03T12:19:34.273Z" } ], "nodes": [ { "id": "94c09c05-539b-452e-83b7-0a029bbe6b7f", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -120, -140 ], "parameters": { "width": 248.47086922498647, "height": 314.47468983163634, "content": "- Starts the workflow every day at 7 AM.\n- Adjust the time if you want the workflow to run at a different hour." }, "typeVersion": 1 }, { "id": "5e5cbc87-5c01-438b-a1c0-e8468d3ee20b", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 160, -137.04548301590512 ], "parameters": { "width": 213.36643278764896, "height": 313.40934714314244, "content": "Fetches all emails received in the past 24 hours from the email address" }, "typeVersion": 1 }, { "id": "9a82f5e9-7d0b-430f-9dbb-d8ae0b129dad", "name": "Daily 7AM Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -40, 0 ], "parameters": { "rule": { "interval": [ { "triggerAtHour": 7 } ] } }, "typeVersion": 1.2 }, { "id": "dd3e4b10-187b-45ce-b999-f0143e5af134", "name": "Fetch Emails - Past 24 Hours", "type": "n8n-nodes-base.gmail", "position": [ 220, 0 ], "webhookId": "20f1d11d-8a69-43f3-9323-33eaf1b3b600", "parameters": { "filters": { "q": "={{ \n (() => {\n const yesterday = new Date();\n yesterday.setDate(yesterday.getDate() - 1);\n return `isb.quantana@quantana.in after:${yesterday.getFullYear()}/${(yesterday.getMonth() + 1).toString().padStart(2, '0')}/${yesterday.getDate().toString().padStart(2, '0')}`;\n })()\n}}" }, "operation": "getAll", "returnAll": true }, "credentials": { "gmailOAuth2": { "id": "YFARhQXJAjbwXjSO", "name": "Vishal Gmail" } }, "typeVersion": 2.1 }, { "id": "4a8fdfd9-93d7-43a2-92b0-88d845f217bf", "name": "Organize Email Data - Morning", "type": "n8n-nodes-base.aggregate", "position": [ 460, 0 ], "parameters": { "include": "specifiedFields", "options": {}, "aggregate": "aggregateAllItemData", "fieldsToInclude": "id, From, To, CC, snippet" }, "typeVersion": 1 }, { "id": "9e2426e8-57ba-4708-b66f-b58bd19eabff", "name": "Summarize Emails with OpenAI - Morning", "type": "@n8n/n8n-nodes-langchain.openAi", "position": [ 680, 0 ], "parameters": { "modelId": { "__rl": true, "mode": "list", "value": "gpt-4o-mini", "cachedResultName": "GPT-4O-MINI" }, "options": {}, "messages": { "values": [ { "content": "=Go through this email summary and identify all key details mentioned, any specific issues to look at, and action items.\nUse this format to output\n{\n \"summary_of_emails\": [\n \"Point 1\",\n \"Point 2\",\n \"Point 3\"\n ],\n \"actions\": [\n {\n \"name\": \"Name 1\",\n \"action\": \"Action 1\"\n },\n {\n \"name\": \"Name 1\",\n \"action\": \"Action 2\"\n },\n {\n \"name\": \"Name 2\",\n \"action\": \"Action 3\"\n }\n ]\n}\n\nInput Data:\n\n {{ $json.data.toJsonString() }}\n\n" } ] }, "jsonOutput": true }, "credentials": { "openAiApi": { "id": "ksU2WMcMqe2lPgRw", "name": "OpenAi account" } }, "typeVersion": 1.7 }, { "id": "4aa68ee8-d38f-418a-9f20-6cc76850c638", "name": "Send Summary - Morning", "type": "n8n-nodes-base.gmail", "position": [ 1040, 0 ], "webhookId": "83f2aeb9-7b6c-4336-b5ed-8acfcd259850", "parameters": { "sendTo": "team-email@example.com", "message": "=\n\n
\n \n \n\n
\n\n",
"options": {
"ccList": "cc-list@example.com",
"appendAttribution": false,
"replyToSenderOnly": false
},
"subject": "=ESAgent - {{ new Date(new Date().setDate(new Date().getDate() - 1)).toLocaleDateString('en-GB', { day: '2-digit', month: 'short', year: 'numeric' }) }}-00:00 to {{ new Date(new Date().setDate(new Date().getDate())).toLocaleDateString('en-GB', { day: '2-digit', month: 'short', year: 'numeric' }) }}-07:00AM"
},
"credentials": {
"gmailOAuth2": {
"id": "YFARhQXJAjbwXjSO",
"name": "Vishal Gmail"
}
},
"typeVersion": 2.1
},
{
"id": "c7667667-9533-40cb-9c09-914a11560600",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
-132.6641804468672
],
"parameters": {
"width": 226.7095107678671,
"height": 305.83657700487913,
"content": "Organizes the fetched email data, extracting fields like sender, receiver, CC, and a preview snippet."
},
"typeVersion": 1
},
{
"id": "43955af4-3a18-44d7-8c8d-cf8051b18bdd",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
980,
-180
],
"parameters": {
"width": 232.8435827211592,
"height": 359.7308639651144,
"content": "- Sends the summarized email report to recipients with a styled HTML layout.\n- Update the \"sendTo\" and \"ccList\" fields with the email addresses of your recipients.\n\n"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"timezone": "Asia/Kolkata",
"callerPolicy": "workflowsFromSameOwner",
"executionOrder": "v1"
},
"versionId": "b18912ed-6c1f-4912-b75a-1553f7620917",
"connections": {
"Daily 7AM Trigger": {
"main": [
[
{
"node": "Fetch Emails - Past 24 Hours",
"type": "main",
"index": 0
}
]
]
},
"Fetch Emails - Past 24 Hours": {
"main": [
[
{
"node": "Organize Email Data - Morning",
"type": "main",
"index": 0
}
]
]
},
"Organize Email Data - Morning": {
"main": [
[
{
"node": "Summarize Emails with OpenAI - Morning",
"type": "main",
"index": 0
}
]
]
},
"Summarize Emails with OpenAI - Morning": {
"main": [
[
{
"node": "Send Summary - Morning",
"type": "main",
"index": 0
}
]
]
}
}
}
================================================
FILE: Gmail_and_Email_Automation/Extract spending history from gmail to google sheet.json
================================================
{
"id": "nkMjcOC4hpte1a0t",
"meta": {
"instanceId": "3986dc65ca3ddc4ee46e71fc194b0a9d4ef46d960a5e71624f9f7eaa198213cb",
"templateCredsSetupCompleted": true
},
"name": "Extract spend details (template)",
"tags": [
{
"id": "9mCuuNEpnYNvVzb8",
"name": "Finance",
"createdAt": "2024-09-15T07:22:30.749Z",
"updatedAt": "2024-09-15T07:22:30.749Z"
}
],
"nodes": [
{
"id": "8e1e0861-9f06-4fe2-a9c1-423bab246959",
"name": "Get invoice",
"type": "n8n-nodes-base.gmailTrigger",
"position": [
600,
380
],
"parameters": {
"simple": false,
"filters": {
"labelIds": [
"Label_7885838942566773656"
]
},
"options": {
"downloadAttachments": true
},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
}
},
"credentials": {
"gmailOAuth2": {
"id": "fegneFqi8XJX3NJH",
"name": "Gmail account (hana@hanamizuki.tw)"
}
},
"typeVersion": 1.1
},
{
"id": "364fe355-672a-4074-800a-a7496c4fb1b2",
"name": "Get payment",
"type": "n8n-nodes-base.gmailTrigger",
"position": [
600,
580
],
"parameters": {
"simple": false,
"filters": {
"labelIds": [
"Label_371722915607774622"
]
},
"options": {
"downloadAttachments": true
},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
}
},
"credentials": {
"gmailOAuth2": {
"id": "fegneFqi8XJX3NJH",
"name": "Gmail account (hana@hanamizuki.tw)"
}
},
"typeVersion": 1.1
},
{
"id": "e3218faf-2486-46e0-bf43-3bc52927e2bd",
"name": "Extract invoice",
"type": "n8n-nodes-base.extractFromFile",
"notes": "No attachements",
"onError": "continueRegularOutput",
"position": [
820,
380
],
"parameters": {
"options": {
"password": "E223706995"
},
"operation": "pdf",
"binaryPropertyName": "attachment_0"
},
"typeVersion": 1
},
{
"id": "3772b3dc-7601-4005-9b61-263b2c1abd5f",
"name": "Extract payment",
"type": "n8n-nodes-base.extractFromFile",
"notes": "No attachements",
"onError": "continueRegularOutput",
"position": [
820,
580
],
"parameters": {
"options": {
"password": "E223706995"
},
"operation": "pdf",
"binaryPropertyName": "attachment_0"
},
"typeVersion": 1
},
{
"id": "10d57038-940e-47aa-84ea-3850f61ac757",
"name": "HTML",
"type": "n8n-nodes-base.html",
"notes": "\".spend-table\" here is an example when the email use \"spend\" html tags to display each spends.\ne.g.\n\n
\n Email Summary
\n\n
\n \n \n
\n Summary of Emails:
\n- \n {{ $json.message.content.summary_of_emails.map(email => `
- ${email} `).join('') }}\n
\n
\n Actions:
\n- \n {{ $json.message.content.actions.map(action => `\n
- \n ${action.name}:\n ${action.action}\n \n `).join('') }}\n
Spend 1
\nSpend 2
",
"position": [
1440,
200
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"dataPropertyName": "=html",
"extractionValues": {
"values": [
{
"key": "spend",
"cssSelector": ".spend-table",
"returnArray": true
}
]
}
},
"typeVersion": 1.2
},
{
"id": "dae6d22e-587d-4102-b006-20a341ede5ee",
"name": "Split Out",
"type": "n8n-nodes-base.splitOut",
"position": [
1660,
200
],
"parameters": {
"options": {},
"fieldToSplitOut": "spend"
},
"typeVersion": 1
},
{
"id": "0d75443d-0d23-4120-95e5-b3128a760fb4",
"name": "Structured Output Parser1",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
2500,
640
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"title\": \"Expense Record Schema\",\n \"description\": \"Schema used to parse expense record emails, including date, service name, transaction details, amount, category, currency, and card.\",\n \"type\": \"object\",\n \"properties\": {\n \"date\": {\n \"type\": \"string\",\n \"description\": \"Transaction date, can refer to the email date or the consumption date within the content. If there are multiple dates, use the earliest one. The format is 'YYYY-MM-DD hh:mm', e.g., '2024-09-02 10:12'.\",\n \"examples\": [\"2024-09-02 10:12\"]\n },\n \"service\": {\n \"type\": [\"string\", \"null\"],\n \"description\": \"Name of the service or store, such as 'GOOGLE', 'Uber', etc.\",\n \"examples\": [\"GOOGLE\", \"Uber Eats\", \"Uber\", \"CLAUDE.AI\"]\n },\n \"details\": {\n \"type\": [\"string\", \"null\"],\n \"description\": \"Detailed transaction information, such as overseas card usage, online transactions, restaurant names, or consumption details. If none, can be left blank or null.\",\n \"examples\": [\"Uber: from Fuxing North Road to Minquan East Road\", \"Restaurant name\", null]\n },\n \"amount\": {\n \"type\": \"number\",\n \"description\": \"Transaction amount. If in USD, keep two decimal places (e.g., 50.12); if in TWD, use integers (e.g., 550).\",\n \"examples\": [50.12, 550]\n },\n \"category\": {\n \"type\": \"string\",\n \"description\": \"Transaction category\",\n \"enum\": [\"Food & Beverage\", \"Transportation\", \"Daily Necessities\", \"Housing\", \"Electronics\", \"Beauty & Hair\", \"Apparel & Accessories\", \"Medical & Healthcare\", \"Pets\", \"Education\", \"Entertainment\", \"Cloud Services\", \"Automobile\", \"Gifts\", \"Family Care\", \"Counseling\", \"Insurance\", \"Taxes\", \"Transfer Fees\", \"Music\", \"Fitness\", \"Travel\", \"Lending\", \"Donations\", \"Advertising\", \"Finance\"],\n \"examples\": [\"Food & Beverage\", \"Transportation\"]\n },\n \"currency\": {\n \"type\": \"string\",\n \"description\": \"Currency code used in the transaction. If the amount starts with NT$, then currency is TWD.\",\n \"enum\": [\"TWD\", \"USD\", \"JPY\", \"EUR\", \"SGD\"],\n \"examples\": [\"USD\", \"TWD\"]\n },\n \"card\": {\n \"type\": [\"string\", \"null\"],\n \"description\": \"Credit card used for the transaction.\",\n \"enum\": [\"HSBC 3088\", \"HSBC 3854\", \"Fubon Card\", \"Crypto.com Card\", \"Cathay Card\", null],\n \"examples\": [\"HSBC 3088\", \"HSBC 3854\"]\n }\n },\n \"required\": [\"date\", \"amount\", \"category\", \"currency\"]\n}\n"
},
"typeVersion": 1.2
},
{
"id": "7ade499c-015b-4903-8129-6c135264bf75",
"name": "Google Gemini Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
2320,
640
],
"parameters": {
"options": {},
"modelName": "models/gemini-1.5-flash"
},
"credentials": {
"googlePalmApi": {
"id": "QR3KfTwhKpbgAGWU",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "10fe4a38-139b-4284-9e86-dd36e472f59e",
"name": "Send",
"type": "n8n-nodes-base.googleSheets",
"position": [
2740,
480
],
"parameters": {
"columns": {
"value": {
"date": "={{ $json.output.date }}",
"amount": "={{ $json.output.amount }}",
"source": "n8n",
"details": "={{ $json.output.details }}",
"payment": "={{ $json.output.card }}",
"service": "={{ $json.output.service }}",
"category": "={{ $json.output.category }}",
"currency": "={{ $json.output.currency }}"
},
"schema": [
{
"id": "date",
"type": "string",
"display": true,
"required": false,
"displayName": "date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "service",
"type": "string",
"display": true,
"required": false,
"displayName": "service",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "details",
"type": "string",
"display": true,
"required": false,
"displayName": "details",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "amount",
"type": "string",
"display": true,
"required": false,
"displayName": "amount",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "category",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "category",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "currency",
"type": "string",
"display": true,
"required": false,
"displayName": "currency",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "payment",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "payment",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "source",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "source",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": []
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 2071031170,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ccwhQeUSUkINccAucC6_clRyNF5Mw4IjIxAtcH4ftIs/edit#gid=2071031170",
"cachedResultName": "raw data 2"
},
"documentId": {
"__rl": true,
"mode": "url",
"value": "https://docs.google.com/spreadsheets/d/1ccwhQeUSUkINccAucC6_clRyNF5Mw4IjIxAtcH4ftIs/edit?gid=370005862#gid=370005862"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "flAcWUeyvdjh7MiW",
"name": "Google Sheets account: hana@hanamizuki.tw (GCP: n8n)"
}
},
"retryOnFail": true,
"typeVersion": 4.5
},
{
"id": "87ab4932-aae5-4c5a-a175-c782bebdf781",
"name": "Set data 0",
"type": "n8n-nodes-base.set",
"position": [
1860,
200
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "75b16672-71cf-4157-bcb6-683099ff1620",
"name": "email_date",
"type": "string",
"value": "={{ $('Switch').item.json.date }}"
},
{
"id": "3298f680-5d17-42fd-8b41-a6ca621af37d",
"name": "email_subject",
"type": "string",
"value": "={{ $('Switch').item.json.subject }}"
},
{
"id": "cf7181b7-fef9-437a-8bbe-cd4a4eda85b8",
"name": "email_content",
"type": "string",
"value": "={{ $ifEmpty($json.spend, $ifEmpty( $json.text, $json.html)) }}"
},
{
"id": "1a524cb4-6975-4d45-ac0e-f1ac1f9b0417",
"name": "email_type",
"type": "number",
"value": "=0"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "c2829f41-1e3f-40bc-8d4b-9fd1bac41381",
"name": "Set data 1",
"type": "n8n-nodes-base.set",
"position": [
1660,
440
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "75b16672-71cf-4157-bcb6-683099ff1620",
"name": "email_date",
"type": "string",
"value": "={{ $json.date }}"
},
{
"id": "3298f680-5d17-42fd-8b41-a6ca621af37d",
"name": "email_subject",
"type": "string",
"value": "={{ $json.subject }}"
},
{
"id": "cf7181b7-fef9-437a-8bbe-cd4a4eda85b8",
"name": "email_content",
"type": "string",
"value": "={{ $ifEmpty( $json.text, $json.html) }}"
},
{
"id": "1a524cb4-6975-4d45-ac0e-f1ac1f9b0417",
"name": "email_type",
"type": "number",
"value": "=1"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "ecf9ea3c-3f34-43ef-b101-ca4a420e4c24",
"name": "Set data 2",
"type": "n8n-nodes-base.set",
"position": [
1640,
740
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "75b16672-71cf-4157-bcb6-683099ff1620",
"name": "email_date",
"type": "string",
"value": "={{ $json.date }}"
},
{
"id": "3298f680-5d17-42fd-8b41-a6ca621af37d",
"name": "email_subject",
"type": "string",
"value": "={{ $json.subject }}"
},
{
"id": "cf7181b7-fef9-437a-8bbe-cd4a4eda85b8",
"name": "email_content",
"type": "string",
"value": "={{ $ifEmpty( $json.text, $json.html) }}"
},
{
"id": "1a524cb4-6975-4d45-ac0e-f1ac1f9b0417",
"name": "email_type",
"type": "number",
"value": "=2"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "0d9f8bde-af54-480c-bdc9-15cd5b0e6f28",
"name": "Invoice data",
"type": "n8n-nodes-base.set",
"position": [
1040,
380
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ac7c18ba-1944-4019-aa85-03d7751a7e1c",
"name": "html",
"type": "string",
"value": "={{ $('Get invoice').item.json.html }}"
},
{
"id": "5eb54501-9c55-437d-9918-e5eff92e2229",
"name": "subject",
"type": "string",
"value": "={{ $('Get invoice').item.json.subject }}"
},
{
"id": "87eebc48-0b95-46ae-b41b-b6540b1afaa9",
"name": "date",
"type": "string",
"value": "={{ $('Get invoice').item.json.date }}"
},
{
"id": "c6b75367-239e-4e88-9e17-90ee75a064e2",
"name": "text",
"type": "string",
"value": "={{ $('Get invoice').item.json.text }} \\n {{ $json.text }}"
},
{
"id": "7d5b4b42-6b90-4ffe-ab8f-4288771d1302",
"name": "label",
"type": "string",
"value": "={{ $('Get invoice').item.json.labelIds }}"
},
{
"id": "551ea1c3-01ca-4615-9d52-a880e24252ed",
"name": "from",
"type": "string",
"value": "={{ $('Get invoice').item.json.from.text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "c1c4c490-d7a9-4b16-a81b-a338103764b6",
"name": "Payment data",
"type": "n8n-nodes-base.set",
"position": [
1040,
580
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ac7c18ba-1944-4019-aa85-03d7751a7e1c",
"name": "html",
"type": "string",
"value": "={{ $('Get payment').item.json.html }}"
},
{
"id": "5eb54501-9c55-437d-9918-e5eff92e2229",
"name": "subject",
"type": "string",
"value": "={{ $('Get payment').item.json.subject }}"
},
{
"id": "87eebc48-0b95-46ae-b41b-b6540b1afaa9",
"name": "date",
"type": "string",
"value": "={{ $('Get payment').item.json.date }}"
},
{
"id": "c6b75367-239e-4e88-9e17-90ee75a064e2",
"name": "text",
"type": "string",
"value": "={{ $('Get payment').item.json.text }} \\n {{ $json.text }}"
},
{
"id": "7d5b4b42-6b90-4ffe-ab8f-4288771d1302",
"name": "label",
"type": "string",
"value": "={{ $('Get payment').item.json.labelIds }}"
},
{
"id": "2c976be1-48b8-42fa-b1c9-2fd315da89ae",
"name": "from",
"type": "string",
"value": "={{ $('Get payment').item.json.from.text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "01c5a934-9412-4ef9-81a8-c4aef19c8868",
"name": "Switch",
"type": "n8n-nodes-base.switch",
"position": [
1300,
480
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Multiple payment info in one mail",
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.from }}",
"rightValue": "service@pxbillrc01.cathaybk.com.tw"
}
]
},
"renameOutput": true
},
{
"outputKey": "One payment info in one mail",
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "47e3b84f-903c-4594-9297-785cfbea0316",
"operator": {
"type": "string",
"operation": "regex"
},
"leftValue": "={{ $json.from }}",
"rightValue": "\\b(?:noreply@messaging\\.hsbc\\.com\\.tw|hello@crypto\\.com|taipeifubon\\.com\\.tw)\\b"
}
]
},
"renameOutput": true
},
{
"outputKey": "Invoices",
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "db9d40f1-8fa4-4908-9010-985072b3f319",
"operator": {
"type": "string",
"operation": "notRegex"
},
"leftValue": "={{ $json.from }}",
"rightValue": "\\b(?:noreply@messaging\\.hsbc\\.com\\.tw|hello@crypto\\.com|taipeifubon\\.com\\.tw)\\b"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"executeOnce": false,
"typeVersion": 3.1,
"alwaysOutputData": false
},
{
"id": "250bbd9a-3d22-4a04-910c-7cec437b3c33",
"name": "Groq Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"position": [
2320,
1120
],
"parameters": {
"model": "llama-3.2-11b-text-preview",
"options": {}
},
"credentials": {
"groqApi": {
"id": "vaG2nZFaKeQarQHw",
"name": "Groq account"
}
},
"typeVersion": 1
},
{
"id": "b8d2b2fc-748c-43c5-a82b-d5e7357bbef8",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
2520,
1120
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"title\": \"Transaction Record Schema\",\n \"description\": \"Schema for parsing transaction record emails, including date, service name, transaction details, amount, category, currency, and card.\",\n \"type\": \"object\",\n \"properties\": {\n \"date\": {\n \"type\": \"string\",\n \"description\": \"Transaction date, can refer to email date or transaction date in content. If multiple dates exist, use the earliest date. Format is 'YYYY-MM-DD hh:mm', e.g., '2024-09-02 10:12'.\",\n \"examples\": [\"2024-09-02 10:12\"]\n },\n \"service\": {\n \"type\": [\"string\", \"null\"],\n \"description\": \"Name of service or store, e.g., 'GOOGLE', 'Uber', etc.\",\n \"examples\": [\"GOOGLE\", \"Uber Eats\", \"Uber\", \"CLAUDE.AI\"]\n },\n \"details\": {\n \"type\": [\"string\", \"null\"],\n \"description\": \"Detailed transaction information, such as overseas purchase, online purchase, restaurant name, or consumption details. Can be empty or null if not available.\",\n \"examples\": [\"Uber: From Fuxing North Road to Minquan East Road\", \"Restaurant name\", null]\n },\n \"amount\": {\n \"type\": \"number\",\n \"description\": \"Transaction amount. For USD, keep two decimal places (e.g., 50.12); for TWD, use integers (e.g., 550).\",\n \"examples\": [50.12, 550]\n },\n \"category\": {\n \"type\": \"string\",\n \"description\": \"Transaction category\",\n \"enum\": [\"Food & Beverage\", \"Transportation\", \"Daily Necessities\", \"Housing\", \"Electronics\", \"Beauty & Hair\", \"Clothing & Accessories\", \"Healthcare\", \"Pets\", \"Education\", \"Entertainment\", \"Cloud Services\", \"Automotive\", \"Gifts\", \"Family Support\", \"Counseling\", \"Insurance\", \"Taxes\", \"Transfer Fee\", \"Music\", \"Fitness\", \"Travel\", \"Lending\", \"Donations\", \"Advertising\", \"Finance\"],\n \"examples\": [\"Food & Beverage\", \"Transportation\"]\n },\n \"currency\": {\n \"type\": \"string\",\n \"description\": \"Currency code used for the transaction, if amount starts with NT$, currency is TWD.\",\n \"enum\": [\"TWD\", \"USD\", \"JPY\", \"EUR\", \"SGD\"],\n \"examples\": [\"USD\", \"TWD\"]\n }\n },\n \"required\": [\"date\", \"amount\", \"category\", \"currency\"]\n}"
},
"typeVersion": 1.2
},
{
"id": "39b10715-54fe-4c07-9ca1-afbe43ae519e",
"name": "Send1",
"type": "n8n-nodes-base.googleSheets",
"position": [
2740,
900
],
"parameters": {
"columns": {
"value": {
"date": "={{ $json.output.date }}",
"amount": "={{ $json.output.amount }}",
"source": "n8n",
"details": "={{ $json.output.details }}",
"payment": "=",
"service": "={{ $json.output.service }}",
"category": "={{ $json.output.category }}",
"currency": "={{ $json.output.currency }}"
},
"schema": [
{
"id": "date",
"type": "string",
"display": true,
"required": false,
"displayName": "date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "service",
"type": "string",
"display": true,
"required": false,
"displayName": "service",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "details",
"type": "string",
"display": true,
"required": false,
"displayName": "details",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "amount",
"type": "string",
"display": true,
"required": false,
"displayName": "amount",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "category",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "category",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "currency",
"type": "string",
"display": true,
"required": false,
"displayName": "currency",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "payment",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "payment",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "source",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "source",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": []
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 2071031170,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ccwhQeUSUkINccAucC6_clRyNF5Mw4IjIxAtcH4ftIs/edit#gid=2071031170",
"cachedResultName": "raw data 2"
},
"documentId": {
"__rl": true,
"mode": "url",
"value": "https://docs.google.com/spreadsheets/d/1ccwhQeUSUkINccAucC6_clRyNF5Mw4IjIxAtcH4ftIs/edit?gid=370005862#gid=370005862"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "flAcWUeyvdjh7MiW",
"name": "Google Sheets account: hana@hanamizuki.tw (GCP: n8n)"
}
},
"retryOnFail": true,
"typeVersion": 4.5
},
{
"id": "112f5198-871e-42f9-9376-5fa074497413",
"name": "Extract details1",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
2320,
900
],
"parameters": {
"text": "=Email Date: {{ $json.email_date }}\nEmail Subject: {{ $json.email_subject }}\nEmail Content:\n{{ $json.email_content }}",
"messages": {
"messageValues": [
{
"message": "=Please analyze the following email to extract transaction details for bookkeeping purposes.\n\nPlease extract relevant transaction details such as transaction date, amount, merchant name, and any other pertinent information, and provide them in a structured format suitable for accounting records."
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"retryOnFail": true,
"typeVersion": 1.4
},
{
"id": "b9c3cb29-e68e-4ae0-8930-185c17bc6cab",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
2060,
440
],
"parameters": {},
"typeVersion": 3
},
{
"id": "b50d632c-b762-4f61-b34a-91f941100668",
"name": "Extract details",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
2320,
480
],
"parameters": {
"text": "=Email Date: {{ $json.email_date }}\nEmail Subject: {{ $json.email_subject }}\nEmail Content:\n{{ $json.email_content }}\nEmail Source: {{ $json.email_type }}",
"messages": {
"messageValues": [
{
"message": "=Please analyze the following email to extract transaction details for bookkeeping purposes. The \"Email Source\" field indicates the origin of the email, where 0 represents Cathay Bank card statements and 1 represents other credit card statements.\n\nPlease extract relevant transaction details such as transaction date, amount, merchant name, and any other pertinent information, and provide them in a structured format suitable for accounting records."
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"retryOnFail": true,
"typeVersion": 1.4
},
{
"id": "7a7e2e36-a8b6-48dc-ad57-2f5eea691285",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
500,
220
],
"parameters": {
"width": 720,
"height": 560,
"content": "# A. Get data\n- Set up labels in Gmail\n- Suggested using Gmail filters to move emails to labels automatically"
},
"typeVersion": 1
},
{
"id": "108becad-1a7b-4409-9cb3-36a1c7b64786",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1280,
-20
],
"parameters": {
"width": 920,
"height": 960,
"content": "# B. Deal with the data\n1. Multiple payment info in one mail: input the \"sender\" of the emails that contain more than one payment info. e.g. credit card daily spend notification\n2. One payment info in one mail: input the \"sender\" of the emails that contain only one payment info. e.g. instant credit card spend notification\n3. Invoices: input the mails that contain one invoice in one mail"
},
"typeVersion": 1
},
{
"id": "7123f576-87f9-4df1-ae24-f3e5289c7234",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
2240,
320
],
"parameters": {
"width": 840,
"height": 980,
"content": "# C. Get spend details and send to google sheet\n- Edit the output schema to fit your google sheet format\n- Edit the prompt to fit your needs"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"callerPolicy": "workflowsFromSameOwner",
"executionOrder": "v1",
"saveManualExecutions": true,
"saveExecutionProgress": true
},
"versionId": "211d9ccc-7a66-41c8-bda1-eacde400eeff",
"connections": {
"HTML": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Merge": {
"main": [
[
{
"node": "Extract details",
"type": "main",
"index": 0
}
]
]
},
"Switch": {
"main": [
[
{
"node": "HTML",
"type": "main",
"index": 0
}
],
[
{
"node": "Set data 1",
"type": "main",
"index": 0
}
],
[
{
"node": "Set data 2",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Set data 0",
"type": "main",
"index": 0
}
]
]
},
"Set data 0": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Set data 1": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Set data 2": {
"main": [
[
{
"node": "Extract details1",
"type": "main",
"index": 0
}
]
]
},
"Get invoice": {
"main": [
[
{
"node": "Extract invoice",
"type": "main",
"index": 0
}
]
]
},
"Get payment": {
"main": [
[
{
"node": "Extract payment",
"type": "main",
"index": 0
}
]
]
},
"Invoice data": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"Payment data": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"Extract details": {
"main": [
[
{
"node": "Send",
"type": "main",
"index": 0
}
]
]
},
"Extract invoice": {
"main": [
[
{
"node": "Invoice data",
"type": "main",
"index": 0
}
]
]
},
"Extract payment": {
"main": [
[
{
"node": "Payment data",
"type": "main",
"index": 0
}
]
]
},
"Groq Chat Model": {
"ai_languageModel": [
[
{
"node": "Extract details1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Extract details1": {
"main": [
[
{
"node": "Send1",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Extract details1",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Google Gemini Chat Model1": {
"ai_languageModel": [
[
{
"node": "Extract details",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser1": {
"ai_outputParser": [
[
{
"node": "Extract details",
"type": "ai_outputParser",
"index": 0
}
]
]
}
}
}
================================================
FILE: Gmail_and_Email_Automation/Gmail AI Auto-Responder_ Create Draft Replies to incoming emails.json
================================================
{
"id": "aOQANirVMuWrH0ZD",
"meta": {
"instanceId": "b78ce2d06ac74b90a581919cf44503cf07404c11eda5c3847597226683145618"
},
"name": "Gmail AI auto-responder: create draft replies to incoming emails",
"tags": [],
"nodes": [
{
"id": "2a9ff08f-919a-41a8-980b-8c2bca3059e4",
"name": "Gmail Trigger",
"type": "n8n-nodes-base.gmailTrigger",
"position": [
-332.809175564116,
566.0845437534399
],
"parameters": {
"simple": false,
"filters": {
"q": "-from:me"
},
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
}
},
"credentials": {
"gmailOAuth2": {
"id": "ofvBTX8A0aWfQb2O",
"name": "Gmail account"
}
},
"typeVersion": 1
},
{
"id": "3ef14615-0045-404f-a21b-2c65a52f4be8",
"name": "If Needs Reply",
"type": "n8n-nodes-base.if",
"position": [
240,
560
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "53849246-ad32-4845-9976-9f9688f5a6f2",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.needsReply }}",
"rightValue": "true"
}
]
}
},
"typeVersion": 2
},
{
"id": "36968dd5-8d51-4184-a05a-587b6c95aa82",
"name": "JSON Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
100,
720
],
"parameters": {
"jsonSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"needsReply\": {\n \"type\": \"boolean\"\n }\n },\n \"required\": [\"needsReply\"]\n}\n"
},
"typeVersion": 1
},
{
"id": "2a64dce8-e2f0-475e-a366-a02084293aad",
"name": "OpenAI Chat",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-92.809175564116,
726.0845437534399
],
"parameters": {
"model": "gpt-4o",
"options": {
"temperature": 0,
"responseFormat": "json_object"
}
},
"credentials": {
"openAiApi": {
"id": "13ffkrNMlQMfvbZy",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "be892ff8-0981-4b34-9c93-7674ddd90360",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-429.809175564116,
461.08454375343996
],
"parameters": {
"width": 304.10628068244364,
"height": 394.42512272977456,
"content": "## When I receive an Email\n"
},
"typeVersion": 1
},
{
"id": "9d92839a-9ff2-436c-8abb-2f43e07c1ace",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-112.809175564116,
460.08454375343996
],
"parameters": {
"width": 556,
"height": 397,
"content": "## ... that Needs a Reply\n"
},
"typeVersion": 1
},
{
"id": "3cd77609-684c-44e2-9cdc-9479cfd836bd",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
460,
460
],
"parameters": {
"width": 333.19082443588354,
"height": 400.08454375343996,
"content": "## Generate a Reply"
},
"typeVersion": 1
},
{
"id": "b123cf31-767d-48bb-a0ba-79a69f6da585",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
807.190824435884,
461.08454375343996
],
"parameters": {
"width": 326,
"height": 395,
"content": "## ...as a Draft in the conversation"
},
"typeVersion": 1
},
{
"id": "1a87c416-6b1c-4526-a2b6-20468c95ea0e",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
480,
680
],
"parameters": {
"model": "gpt-4-turbo",
"options": {}
},
"credentials": {
"openAiApi": {
"id": "13ffkrNMlQMfvbZy",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "84b4d516-252e-444e-b998-2d4aa0f89653",
"name": "Gmail - Create Draft",
"type": "n8n-nodes-base.gmail",
"position": [
900,
560
],
"parameters": {
"message": "={{ $json.text.replace(/\\n/g, \"\\n\") }}", "options": { "sendTo": "={{ $('Gmail Trigger').item.json.headers.from }}", "threadId": "={{ $('Gmail Trigger').item.json.threadId }}" }, "subject": "=Re: {{ $('Gmail Trigger').item.json.headers.subject }}", "resource": "draft", "emailType": "html" }, "credentials": { "gmailOAuth2": { "id": "ofvBTX8A0aWfQb2O", "name": "Gmail account" } }, "typeVersion": 2.1 }, { "id": "86017ff4-9c57-4b2a-9cd9-f62571a05ffd", "name": "Assess if message needs a reply", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ -92.809175564116, 566.0845437534399 ], "parameters": { "prompt": "=Subject: {{ $json.subject }}\nMessage:\n{{ $json.textAsHtml }} ", "messages": { "messageValues": [ { "message": "Your task is to assess if the message requires a response. Return in JSON format true if it does, false otherwise.\nMarketing emails don't require a response." } ] } }, "typeVersion": 1.3 }, { "id": "cab1e7e5-93dc-4850-a471-e285cdbe2058", "name": "Generate email reply", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ 500, 520 ], "parameters": { "text": "=Subject: {{ $('Gmail Trigger').item.json.subject }}\nMessage: {{ $('Gmail Trigger').item.json.textAsHtml }}", "messages": { "messageValues": [ { "message": "You're a helpful personal assistant and your task is to draft replies on my behalf to my incoming emails. Whenever I provide some text from an email, return an appropriate draft reply for it and nothing else.\nEnsure that the reply is suitable for a professional email setting and addresses the topic in a clear, structured, and detailed manner.\nDo not make things up.\n\nDetailed instructions:\n- Be concise and maintain a business casual tone.\n- Start with \"Hello,\", and end with \"Best,\"\n- When replying to yes-no questions, draft 2 responses: one affirmative and one negative separated by \" - - - - - - - OR - - - - - - - \"\n- If you don't know an answer, you can leave placeholders like \"[YOUR_ANSWER_HERE]\".\n- Don't use any special formatting, only plain text.\n- Reply in the same language as the inbound email." } ] }, "promptType": "define" }, "typeVersion": 1.4 } ], "active": true, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "c4448c34-1f75-4479-805e-20d8a69a7e00", "connections": { "JSON Parser": { "ai_outputParser": [ [ { "node": "Assess if message needs a reply", "type": "ai_outputParser", "index": 0 } ] ] }, "OpenAI Chat": { "ai_languageModel": [ [ { "node": "Assess if message needs a reply", "type": "ai_languageModel", "index": 0 } ] ] }, "Gmail Trigger": { "main": [ [ { "node": "Assess if message needs a reply", "type": "main", "index": 0 } ] ] }, "If Needs Reply": { "main": [ [ { "node": "Generate email reply", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Generate email reply", "type": "ai_languageModel", "index": 0 } ] ] }, "Generate email reply": { "main": [ [ { "node": "Gmail - Create Draft", "type": "main", "index": 0 } ] ] }, "Assess if message needs a reply": { "main": [ [ { "node": "If Needs Reply", "type": "main", "index": 0 } ] ] } } } ================================================ FILE: Gmail_and_Email_Automation/Microsoft Outlook AI Email Assistant with contact support from Monday and Airtable.json ================================================ { "id": "reQhibpNwU63Y8sn", "meta": { "instanceId": "2128095e13afd30151f0fb53632960213a789cd45ed0afd3a7fb96a985bb4bcf", "templateId": "2454", "templateCredsSetupCompleted": true }, "name": "Microsoft Outlook AI Email Assistant", "tags": [], "nodes": [ { "id": "a923cfb0-64fe-499a-8f0e-13fc848731df", "name": "When clicking ‘Test workflow’", "type": "n8n-nodes-base.manualTrigger", "position": [ 980, 540 ], "parameters": {}, "typeVersion": 1 }, { "id": "ea865c8e-5c73-4d37-97d1-0349a265b9a4", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [ 2880, -600 ], "parameters": { "color": 5, "width": 675, "height": 107, "content": "# Microsoft Outlook AI Email Assistant" }, "typeVersion": 1 }, { "id": "c835042f-421b-44a0-8dc4-686ac638b358", "name": "Sticky Note10", "type": "n8n-nodes-base.stickyNote", "position": [ 1300, 60 ], "parameters": { "width": 612, "height": 401, "content": "## Outlook Business with filters\nFilters:\n```\nflag/flagStatus eq 'notFlagged' and not categories/any()\n```\n\nThese filters ensure we do not process flagged emails or email that already have a category set." }, "typeVersion": 1 }, { "id": "51ae8a4e-2d37-4118-a538-cd0fd4f427f7", "name": "Microsoft Outlook23", "type": "n8n-nodes-base.microsoftOutlook", "position": [ 1540, 240 ], "parameters": { "limit": 10, "fields": [ "flag", "from", "importance", "replyTo", "sender", "subject", "toRecipients", "body", "categories", "isRead" ], "output": "fields", "options": {}, "filtersUI": { "values": { "filters": { "custom": "flag/flagStatus eq 'notFlagged' and not categories/any()", "foldersToInclude": [ "AAMkADYyNmQ0YWE1LWQxYjEtNDBhYS1hODI3LTg3MTkyNDAwMzE5NwAuAAAAAAA44w-ZZoU7QLO9GQAyv8UcAQAkfR2JHrRET4CmwDGznLN6AAAAAAEMAAA=" ] } } }, "operation": "getAll" }, "credentials": { "microsoftOutlookOAuth2Api": { "id": "nv0cz3C6VZDzEgtR", "name": "Microsoft365 Email Account" } }, "typeVersion": 2 }, { "id": "a144adad-6fef-4f76-a06e-c889e8f16080", "name": "Sticky Note11", "type": "n8n-nodes-base.stickyNote", "position": [ 2020, 60 ], "parameters": { "color": 6, "width": 459, "height": 401, "content": "## Sanitise Email \nRemoves HTML and useless information in preparation for the AI Agent" }, "typeVersion": 1 }, { "id": "92ccac8f-9ce3-4f81-a499-e55835be3fc7", "name": "Sticky Note12", "type": "n8n-nodes-base.stickyNote", "position": [ 2020, 580 ], "parameters": { "color": 4, "width": 736, "height": 558, "content": "## Get Rules & Categories\nEdit the airtables to set your own categories, rules, contacts and/or delete rules. " }, "typeVersion": 1 }, { "id": "5b304e0f-002c-42c6-82a0-9ab1dc858861", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 3860, 460 ], "parameters": { "model": "gpt-4o", "options": { "temperature": 0.2 } }, "credentials": { "openAiApi": { "id": "l2JgpErNc5namHVH", "name": "OpenAI account" } }, "typeVersion": 1 }, { "id": "210816e8-6a1f-4e63-a90e-d953e0e87ccd", "name": "Set Category", "type": "n8n-nodes-base.microsoftOutlook", "position": [ 4500, 240 ], "parameters": { "messageId": { "__rl": true, "mode": "id", "value": "={{ $json.output.id }}" }, "operation": "update", "updateFields": { "categories": "={{ [$json.output.category] }}" } }, "credentials": { "microsoftOutlookOAuth2Api": { "id": "nv0cz3C6VZDzEgtR", "name": "Microsoft365 Email Account" } }, "typeVersion": 2 }, { "id": "fe4f8e8f-6a5c-4b7b-b5f7-10f1f374397c", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 4040, 460 ], "parameters": { "schemaType": "manual", "inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"id\": {\n \"type\": \"string\",\n \"description\": \"The email id\"\n },\n \"subject\": {\n \"type\": \"string\",\n \"description\": \"The email subject line\"\n },\n \"category\": {\n \"type\": \"string\",\n \"description\": \"Primary classification of the email\"\n },\n \"subCategory\": {\n \"type\": \"string\",\n \"description\": \"Optional sub-classification if applicable\"\n },\n \"analysis\": {\n \"type\": \"string\",\n \"description\": \"Reasoning behind the categorization\"\n }\n },\n \"required\": [\"id\",\"subject\", \"category\", \"analysis\"]\n}" }, "typeVersion": 1.2 }, { "id": "489028ca-f265-4ea2-b8dd-64dd6b06c8f6", "name": "If", "type": "n8n-nodes-base.if", "position": [ 4740, 240 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "6e4ecd0c-d151-4e5b-8d66-558f9f9ec3b0", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "={{ $('AI: Analyse Email').item.json.output.subCategory }}", "rightValue": "Action" } ] } }, "typeVersion": 2.2 }, { "id": "e2a27071-bac6-4a67-94fb-93e7ac218c89", "name": "Set Importance", "type": "n8n-nodes-base.microsoftOutlook", "position": [ 5000, 220 ], "parameters": { "messageId": { "__rl": true, "mode": "id", "value": "={{ $('AI: Analyse Email').item.json.output.id }}" }, "operation": "update", "updateFields": { "importance": "High" } }, "credentials": { "microsoftOutlookOAuth2Api": { "id": "nv0cz3C6VZDzEgtR", "name": "Microsoft365 Email Account" } }, "typeVersion": 2 }, { "id": "61cecccf-589f-4514-b126-cfbfc7d94981", "name": "AI: Analyse Email", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 3860, 240 ], "parameters": { "text": "=Categorise the following email:\n
\n
\n\n\n\n\n\n"
},
"typeVersion": 1
},
{
"id": "6b0bfa33-84ca-4b9c-98ec-c1bc08a1230d",
"name": "Extract message content (advanced)",
"type": "n8n-nodes-base.code",
"position": [
-920,
2360
],
"parameters": {
"jsCode": "// source: https://gist.github.com/ikbelkirasan/2462073f6c7c760faa6fad7c6a0c4dc3\nvar EmailParser=function(t){var r={};function n(e){if(r[e])return r[e].exports;var o=r[e]={i:e,l:!1,exports:{}};return t[e].call(o.exports,o,o.exports,n),o.l=!0,o.exports}return n.m=t,n.c=r,n.d=function(t,r,e){n.o(t,r)||Object.defineProperty(t,r,{enumerable:!0,get:e})},n.r=function(t){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(t,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(t,\"__esModule\",{value:!0})},n.t=function(t,r){if(1&r&&(t=n(t)),8&r)return t;if(4&r&&\"object\"==typeof t&&t&&t.__esModule)return t;var e=Object.create(null);if(n.r(e),Object.defineProperty(e,\"default\",{enumerable:!0,value:t}),2&r&&\"string\"!=typeof t)for(var o in t)n.d(e,o,function(r){return t[r]}.bind(null,o));return e},n.n=function(t){var r=t&&t.__esModule?function(){return t.default}:function(){return t};return n.d(r,\"a\",r),r},n.o=function(t,r){return Object.prototype.hasOwnProperty.call(t,r)},n.p=\"\",n(n.s=59)}([function(t,r){var n=Array.isArray;t.exports=n},function(t,r,n){var e=n(31),o=\"object\"==typeof self&&self&&self.Object===Object&&self,u=e||o||Function(\"return this\")();t.exports=u},function(t,r,n){var e=n(74),o=n(79);t.exports=function(t,r){var n=o(t,r);return e(n)?n:void 0}},function(t,r){t.exports=function(t){return null!=t&&\"object\"==typeof t}},function(t,r){t.exports=function(t){var r=typeof t;return null!=t&&(\"object\"==r||\"function\"==r)}},function(t,r,n){var e=n(6),o=n(75),u=n(76),i=e?e.toStringTag:void 0;t.exports=function(t){return null==t?void 0===t?\"[object Undefined]\":\"[object Null]\":i&&i in Object(t)?o(t):u(t)}},function(t,r,n){var e=n(1).Symbol;t.exports=e},function(t,r,n){var e=n(35),o=n(99),u=n(14);t.exports=function(t){return u(t)?e(t):o(t)}},function(t,r,n){var e=n(64),o=n(65),u=n(66),i=n(67),c=n(68);function a(t){var r=-1,n=null==t?0:t.length;for(this.clear();++r