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Retrieval-Augmented Generation (RAG) Ops

Operate indexes, chunking, embedding pipelines, and freshness—so answers stay grounded and retrieval quality is measurable. This section breaks RAG Ops into four focus areas; each has a dedicated page (placeholders for now).

Topics in this section​

  • Data Foundation — coming soon — Sources, ingestion, chunking, embeddings, and index hygiene.
  • Retrieval Intelligence — coming soon — Query understanding, ranking, fusion, and relevance feedback.
  • Generation & Synthesis — coming soon — Context assembly, compression, citation-aware generation, and multi-hop synthesis.
  • Governance & Trust — coming soon — Access control, lineage, evaluation of groundedness, and safe release of RAG changes.
Coming soon

End-to-end RAG Ops guides are still being written. Until then, see Getting Started, The LLMOps Periodic Table: System Planes, and Prompt Management & Versioning.