SYMBOL INDEX (19 symbols across 2 files)

FILE: evaluation/evalute_rag.py
  function create_deep_eval_test_cases (line 40) | def create_deep_eval_test_cases(
  function evaluate_rag (line 95) | def evaluate_rag(retriever, num_questions: int = 5) -> Dict[str, Any]:
  function calculate_average_scores (line 160) | def calculate_average_scores(results: List[Dict]) -> Dict[str, float]:

FILE: helper_functions.py
  function replace_t_with_space (line 18) | def replace_t_with_space(list_of_documents):
  function text_wrap (line 34) | def text_wrap(text, width=120):
  function encode_pdf (line 48) | def encode_pdf(path, chunk_size=1000, chunk_overlap=200):
  function encode_from_string (line 79) | def encode_from_string(content, chunk_size=1000, chunk_overlap=200):
  function retrieve_context_per_question (line 129) | def retrieve_context_per_question(question, chunks_query_retriever):
  class QuestionAnswerFromContext (line 152) | class QuestionAnswerFromContext(BaseModel):
  function create_question_answer_from_context_chain (line 162) | def create_question_answer_from_context_chain(llm):
  function answer_question_from_context (line 186) | def answer_question_from_context(question, context, question_answer_from...
  function show_context (line 208) | def show_context(context):
  function read_pdf_to_string (line 223) | def read_pdf_to_string(path):
  function bm25_retrieval (line 248) | def bm25_retrieval(bm25: BM25Okapi, cleaned_texts: List[str], query: str...
  function exponential_backoff (line 276) | async def exponential_backoff(attempt):
  function retry_with_exponential_backoff (line 294) | async def retry_with_exponential_backoff(coroutine, max_retries=5):
  class EmbeddingProvider (line 325) | class EmbeddingProvider(Enum):
  class ModelProvider (line 331) | class ModelProvider(Enum):
  function get_langchain_embedding_provider (line 338) | def get_langchain_embedding_provider(provider: EmbeddingProvider, model_...