LLMs Optimize Database Queries with Up to 4.78x Speedup

Jul 11, 2026

Together AI research shows that large language models (LLMs) can optimize database query execution plans by correcting cardinality estimation errors, resulting in up to 4.78x speedups. This method leverages LLMs' understanding of query semantics and outperforms traditional statistical heuristics.

Why it matters: This approach could lead to significant improvements in database performance by using AI-driven optimization instead of conventional statistical methods.

Full story at: Together AI Blog ↗