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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.