Context Grounding Check

Context Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for runtime memory and retrieved information. 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 Context Grounding Check when the context window filled with mixed sources, so the team could reduce unsupported claims before the agent workflow reached production.”