BauplanLabs/Making-Databases-Faster-with-LLM-Evolutionary-Sampling
Repository hosting code to reproduce our paper (with Stanford and TogetherAI), "Making Databases Faster with LLM Evolutionary Sampling"
This project helps database administrators and performance engineers optimize their SQL query execution plans. You input existing SQL queries, and the system intelligently modifies and benchmarks their underlying execution plans to find faster alternatives. The output is a set of improved query plans that can significantly speed up database operations.
Use this if you are a database administrator, data engineer, or performance analyst struggling with slow SQL queries and want an automated way to discover and apply execution plan optimizations.
Not ideal if you are looking for a simple SQL query builder or a tool for general database management tasks unrelated to query performance tuning.
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Language
Python
License
MIT
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Last pushed
Mar 16, 2026
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