A few days ago I published the architecture behind Vicquant’s RAG Vault; a 9-stage retrieval pipeline built to ground financial AI answers in actual source documents, with strict citations, so a user asking “what’s my 401(k) contribution limit” gets an answer tied to a real document, not a model’s confident guess. The quality evaluation backed it up: +5.2% answer relevance, +16% context precision, +4% context recall over the simpler pipeline it replaced, with zero hallucinations measured on eith...