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July 10, 2026ACM Transactions on Intelligent Systems and Technology

Large Language Models in Database Management System Optimization: A Survey

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Authors

SBSikha BaguiMMMarta MalaguttiRMRiccardo Morelli

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Overview

Survey highlights the use of language models for optimizing database interactions and performance.

Key Points

  • This survey aims to explore the application of large language models in optimizing database management systems.
  • Review of various optimization tasks in databases such as query processing and indexing.
  • Analysis of methodological approaches like fine-tuning and retrieval-augmented generation (RAG).
  • Assessment of limitations and gaps in current research on language models in database optimization.
  • Identified how large language models improve performance in tasks like query processing and system tuning.
  • Discussed methodological foundations that enhance traditional optimization methods.
  • Outlined key limitations and opportunities for future research in integrating language models with database systems.

Cite This Study

Bagui et al. (2026) studied this question.

synapsesocial.com/papers/6a508da76eeac72a437a10a9https://doi.org/10.1145/3829078
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