Grounding Integrity Ratio

Grounding Integrity Ratio measures the share of an AI output's claims that trace back to a retrievable source, and it is the number clients actually feel when they audit a deliverable. A system that retrieves well but cites loosely produces the same failure as one that never retrieved at all: the client cannot verify, so they discount the whole report. Agencies should instrument this ratio per client account, not per tool, because retrieval quality drifts as document sets grow and chunking strategies age. Ragie's context engine API handles parsing, entity extraction, and multimodal ingestion, which raises the ceiling on how much source material can be grounded, but the ratio still depends on how the agency wires retrieval into prompt logic. ai·rete·rag shows the opposite discipline: a Rete rule engine fixes the decision deterministically while retrieval only grounds the explanation, so every auditable claim has a traceable origin. Track the ratio monthly; a drop below roughly 80 percent on client-facing work is a delivery defect, not a model quirk.