A new method for retrieval-augmented generation (RAG) pipelines is proposed to improve source-risk triage by treating source relationships to the query as query-dependent. The method routes canonical query families for enhanced review and assigns retrieved pages to pass, contextualize, exclude, or review. This has implications for the accuracy and reliability of AI agents using RAG pipelines, particularly in terms of page-level frequency vs family-level exposure and calibration.