Retrieval & RAG

This section turns private documents into grounded answers. It moves from chunking and embeddings to BM25, metadata filters, reranking, citations, and evaluation.

Planned build

You will first create a local vector chatbot with SQLite-backed metadata, then add keyword retrieval and reciprocal-rank fusion for a hybrid search system.