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Technical GlossaryNatural Language Processing

Answer Verification

A safety layer that aims to verify a generated answer through source evidence, logic checks, or additional model scrutiny.

Answer verification has become critical for reliability in generative QA and RAG systems. It is not enough for the model to produce an answer; the answer must also be checked for actual support. This provides an important safety layer for hallucination reduction and for high-risk enterprise use cases.