rag▌

Complete RAG pipeline for document ingestion, embedding, retrieval, and LLM-powered response generation. \n \n Supports multiple document loaders (PDF, web pages, directories) and persistent vector stores (Chroma, FAISS, Pinecone) with configurable chunk size and overlap for optimal context preservation \n Includes similarity search, MMR (Maximal Marginal Relevance) retrieval, and metadata filtering to balance relevance and diversity in results \n Works with OpenAI embeddings and integrates seam