Why Your RAG Pipeline Fails On Real Users
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A RAG demo almost never fails. The questions in a demo are written by the same person who indexed the documents, in the same vocabulary those documents use, about content everyone in the room already knows is in there. Production is a different problem. Real users ask sideways, in their own words, about documents they have never seen. Roughly 30 percent of those queries come back with an answer that is fluent, confident, and built on the wrong passage. Nothing errors. Latency looks normal. The…
1Key Takeaways
- The questions in a demo are written by the same person who indexed the documents, in the same vocabulary those documents use, about content everyone in the room already knows is in there.
- Real users ask sideways, in their own words, about documents they have never seen.
- Roughly 30 percent of those queries come back with an answer that is fluent, confident, and built on the wrong passage.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that the questions in a demo are written by the same person who indexed the documents, in the same vocabulary those documents use, about content everyone in the room already knows is in there.
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