rag-pipeline-playbook

Designs and evaluates retrieval-augmented generation pipelines: document chunking, embedding and store selection, permission-aware retrieval, reranking, grounded answer assembly, and quality measurement. Use when the user says "build a document Q&A bot", "add RAG to our assistant", "retrieval returns junk", "reduce hallucinations with citations", or "which vector database should we use". Not for training foundation models, guaranteeing factual correctness, or reading documents outside the user's authorized scope.

Version

v1.0.0

Size

32 KB

Updated

2026-10-02

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