RAG Grounding Check

기계 지원 번역 초안 (Korean) for "RAG Grounding Check": RAG Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for retrieval-augmented generation pipelines. It uses citation checks, retrieval evidence, and contradiction detection so teams can reduce unsupported claims while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The AI platform team used RAG Grounding Check when the retriever mixed old and new documents, so the team could reduce unsupported claims before the agent workflow reached production.”