CSR-RAG Achieves Efficient Enterprise Table Retrieval

A Jan. 10, 2026 arXiv preprint by Novak Boškov proposes CSR-RAG, a hybrid Retrieval-Augmented Generation system combining contextual, structural, and relational retrieval for enterprise Text-to-SQL table retrieval. On enterprise benchmarks, CSR-RAG attains up to 40% precision and over 80% recall while incurring average SQL query generation latency of about 30ms on commodity data-center hardware. Authors present CSR-RAG as practical for modern LLM-based enterprise systems.
Scoring Rationale
High practical impact from empirical latency and recall results, limited by single arXiv preprint and brief evaluation.
Practice with real FinTech & Trading data
90 SQL & Python problems · 15 industry datasets
250 free problems · No credit card
See all FinTech & Trading problems

