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.

“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.”