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An AI assistant can continue returning fluent answers while retrieval is disabled, misconfigured, or returning irrelevant documents. Users may assume responses reflect company knowledge when they are based only on model context.
Track retrieval invocation, source IDs, relevance, citation coverage, and fallback behavior. Test questions with known answers in the knowledge base and questions that should require an explicit no-source response.
Alert on retrieval failures and require clear source behavior for company-specific answers. Re-evaluate after index, embedding, prompt, or model changes and keep a route to human review for uncertain responses.
Informatix Systems provides AI production operations and knowledge retrieval services. We can assess the environment, trace the failure across relevant components, and help plan a practical next step. Contact us with the service involved, when the issue began, and non-sensitive error details.
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