Evaluation Ownership Threshold

Evaluation Ownership Threshold is the point at which an agency's own retrieval test harness becomes more valuable than any single RAG vendor's benchmark claims. Below the threshold, teams pick a provider on feature lists and pricing pages; above it, they run the same golden question set against every candidate and let measured accuracy decide. The threshold matters because retrieval quality drifts as client corpora grow and providers retune their indexes, so a vendor that wins in month one can lose by month nine. Ragie's managed context engine API handles parsing, entity extraction, and multimodal indexing, which makes it a fast first candidate, but the abstraction only pays off when the agency owns the scoring layer that judges it. ai·rete·rag shows the other end of the spectrum: a Rete rule engine paired with retrieval produces deterministic, auditable decisions with a full trail linking each verdict to the rules that fired. Agencies serving regulated clients can benchmark both patterns against the same eval set and swap without rewriting delivery.