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Phase 4
RAG: Retrieval Augmented Generation
The full ingest-to-retrieve pipeline, chunking and embedding strategy, and the access-control, freshness, and multi-tenancy concerns naive RAG tutorials skip.
1
The RAG Pipeline: Ingest, Chunk, Embed, Index, Retrieve
How the support bot's fabricated refund policy actually got fixed — the end-to-end pipeline that grounds a model's answers in real, citable documents.
ragknowledge-basegrounding
2
Chunking & Embedding Strategy
Why splitting a policy document into fixed 500-character blocks quietly broke retrieval, and how chunk size, overlap, and embedding model choice fix it.
chunkingembeddingsrag
3
Production RAG: Access Control, Freshness & Multi-Tenancy
What naive RAG tutorials skip — keeping a shared index from leaking data across tenants, and keeping it from serving policies that were already replaced.
ragmetadata-filteringmulti-tenant