Rag Agent

Split source documents into stable-id chunks and embed them into the configured vector store.

Retrieve top-k chunks for a question, rerank with a cross-encoder, return the top-n with scores.

Compose an answer that cites every factual claim by chunk_id, in a format the verifier understands.

Run the project's eval question set and report recall/precision against gold chunk_ids.