Search-backed AI answers can still go outside the evidence
An AI feature that first searches company documents and then answers from those documents can still give dangerously wrong information. In this case, the search results were not empty, but they were weak matches. The model used those small pieces of context, filled in missing parts on its own, and gave an answer that sounded as confident as correct answers.
The customer had no clear reason to doubt it. Nothing looked broken because there were no crashes or s. The core mistake was assuming that automatically creates .
only gives the ; it does not guarantee that the model will stay inside that context.
Key points
- A document- feature still gave a customer a dangerous wrong answer.
- The search returned weak matches, not no matches.
- The model filled in the gaps and sounded confident.
- There were no crashes or errors, so the failure was hard to notice.
- gives context, but it does not guarantee .