Executive Summary Retrieval-Augmented Generation (RAG) has become the foundational architecture for enterprise knowledge systems across our platform. However, after scaling our RAG infrastructure to support thousands of enterprise customers ingesting financial reports, regulatory filings, procurement contracts, and technical specifications, our engineering team identified a critical, systemic accuracy deficit: table-dependent factual queries exhibited a 61% accuracy rate, com