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A practical RAG checklist before you go to production

AgitexAI

Shipping RAG is easy; shipping RAG that users trust is not. Before production, we walk through a focused checklist.

1. Retrieval that matches real questions

  • Chunking strategy matches how users ask questions (not arbitrary page splits).
  • Hybrid search (keyword + vector) when acronyms and exact phrases matter.
  • Re-ranking when top-k isn’t enough.

2. Grounding and citations

  • Answers cite sources users can verify.
  • “I don’t know” is a valid answer when context is thin.

3. Evaluation beyond “vibes”

  • Golden set of Q/A pairs from real or realistic queries.
  • Regression checks when you change embeddings, chunking, or models.

4. Latency and cost

  • p95 latency budget agreed with the product team.
  • Caching and batching where it helps without stale answers.

5. Safety and access

  • Access control on documents and namespaces.
  • Audit logs for who asked what in sensitive deployments.

This isn’t exhaustive — but skipping these is how RAG demos turn into support tickets. If you want help pressure-testing your stack, we’re happy to book a short call.

Questions about this topic? Contact us.