Learning path · Production RAG · 59
Naive vs Production RAG
Naive RAG embeds docs and calls the LLM once; production RAG adds hybrid search, reranking, evals, guardrails, and ops.
Why it matters
- Sets realistic roadmap from POC to enterprise reliability.
- Explains why demos fail under real query diversity.
- Aligns expectations with reported industry case studies.
Key ideas
- POC pitfalls
- Operational maturity
- Metric gates
Naive RAG—chunk, embed, top-3, ask—works on toy PDFs. Production RAG handles ACLs, hybrid retrieval, rerankers, query transforms, citation enforcement, hallucination monitoring, cache-aware prompts, and regression evals. Teams at Shopify and Dropbox-scale deployments emphasize observability and cost controls in reported industry case studies. Plan explicit maturity stages so stakeholders know what "done" means at each gate. Publish a maturity rubric internally so executives know stage-two requires eval gates, not merely more documents ingested. Ship only after eval gates pass on representative production failures.
Updated 2026-08-09 · Full learning path