How we build production RAG without hallucinations

Insights

How we build production RAG without hallucinations

· 8 min read

Demo RAG is easy. Production RAG needs evals, grounding, fallbacks, and humans in the loop — not a bigger prompt.

Retrieval-augmented generation is not "ChatGPT + your PDFs." Production systems answer from your data, refuse when uncertain, and escalate when stakes are high.

Grounding before generation

We index only approved sources, chunk with structure in mind, and retrieve with hybrid search. Answers cite sources internally so engineers — and users — can verify.

Evals, not vibes

We maintain a test set of real questions from support tickets and sales calls. Every pipeline change runs against it. Accuracy beats eloquence.

Human handoff by design

Low confidence, high-risk topics, or angry sentiment routes to a human. The bot’s job is to save time — not to trap customers in AI jail.

Typical result for ecommerce clients: support tickets down 40%, conversion on assisted sessions up double digits — in weeks, not quarters.

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