RAG and Knowledge Systems: From Pilot to Production
A delivery checklist for retrieval-augmented generation that survives real users and audits
Most RAG initiatives fail on evaluation, freshness, and access control — not embedding quality. This guide sequences the work that turns a demo into a governed knowledge workflow.
What's inside
Key highlights
A glimpse of what the full piece covers — not the underlying data or full narrative.
- 01
How to define retrieval success beyond qualitative spot checks
- 02
Chunking, metadata, and refresh patterns that reduce silent drift
- 03
Human-in-the-loop patterns for regulated or high-stakes answers
- 04
Latency and cost guardrails before you commit to architecture
- 05
What to instrument on day one so you can prove ROI later
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