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A RAG system that verifies every citation against the retrieved chunks before it ever reaches the screen, and answers the question of retrieval quality by measuring it rather than asserting it. The corpus is ~3,000 pages of the PostgreSQL 17 manual — full of passages that look nearly identical (pg_dump vs pg_dumpall, five different work_mem settings), exactly where naive vector search quietly returns the wrong paragraph. Across 46 evaluation questions, cross-encoder reranking scores recall@5 0.978 and MRR@10 0.834 against 0.652 for plain vector search, with citation validity at 1.000 and zero hallucinated citations out of 168. Embeddings and reranking run locally through ONNX, so ingestion makes no outbound calls at all.