Together AI· Inference platformResearch paper

AI for Systems: Using LLMs to Optimize Database Query Execution

Together AI, Stanford University, the University of Wisconsin–Madison, and Bauplan collaborated to test whether LLMs can optimize database query execution plans. They introduce DBPlanBench, a harness that exposes the internal physical operator graph of Apache DataFusion to an LLM, and show that LLM-guided plan rewrites can improve execution performance without modifying the database engine itself.

From the source

We worked in collaboration with Stanford University, the University of Wisconsin–Madison, and Bauplan to test whether LLMs can optimize database query execution plans. The results show that LLM-guided plan rewrites can improve execution performance without modifying the database engine itself.

together.ai

Announced

03 Apr 2026 00:00 UTC

Detected