Jul 2026 · GenAI · RAG

A practical RAG production checklist

Use this before you call a retrieval-augmented feature “done.” Written for AI Architects and engineering leads shipping LLMs in the real world.

1. Corpus and freshness

2. Retrieval quality

3. Generation and safety

4. Evaluation and monitoring

5. Ownership

If nobody owns corpus freshness, retrieval quality, and incident response, you do not have a production RAG system — you have a demo with a longer timeout.

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