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LLM for Data Management

Summary: Tutorial surveying use of LLMs to optimize data management, advocating retrieval-augmented generation (RAG) to curb hallucination, vector databases to cut latency, and LLM-agent multi-round pipelines for complex workflows. Focuses on applications (query rewrite, DB diagnosis, NL analytics), implementation trade-offs (cost, accuracy, latency), and open research challenges. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13619
Venue
VLDB
Year
2024
Pagerank
4.8595728e-05
Overall Rank
7,020 | 51.17%
DOI
10.14778/3685800.3685838

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