Overview


The code implements a sophisticated RAG pipeline that:


Processes a user's natural language query to understand its intent and context.
Retrieves relevant information from a knowledge base (vector database) using semantic search.
Generates a coherent, accurate answer using a Large Language Model (LLM), grounded in the retrieved...