As organizations rely more heavily on AI to answer business questions, the demand for accurate, consistent outputs has never been higher. Other platforms today address this through context engineering which entails retrieving metadata that looks similar to a query and surfacing it to the AI. That approach helps AI find things that seem relevant, but it breaks down when correctness, not similarity, is the priority.