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Text2SQL is Not Enough: Unifying AI and Databases with TAG

Summary: Introduce Table‑Augmented Generation (TAG), a unified paradigm that generalizes Text2SQL and RAG to capture broader LM–DB interactions beyond relational‑algebra and point lookups. New TAG benchmarks show standard methods solve ≤20% of queries, evidencing the need for research on tightly integrating LM reasoning/knowledge with DBMS execution. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
537
Venue
CIDR
Year
2025
Pagerank
7.1744146e-05
Overall Rank
3,359 | 76.64%
DOI
10.1145/nnnnnnn.nnnnnnn

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
140 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00042270404
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