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.
Key Points
- 1Introduces CSR-RAG hybrid retrieval combining contextual, structural, and relational signals for table retrieval.
- 2Demonstrates up to 40% precision and over 80% recall on enterprise benchmarks, improving retrieval reliability.
- 3Enables sub-30ms average SQL generation latency on commodity data-center hardware, practical for production LLMs.
Scoring Rationale
High practical impact from empirical latency and recall results, limited by single arXiv preprint and brief evaluation.
Sources
Public references used for this report.
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