Training-Free Query Optimization via LLM-Based Plan Similarity

Nikita Vasilenko, Alexander Demin, Vladimir Boorlakov

Large language model (LLM) embeddings offer a promising new avenue for database query optimization. In this paper, we explore how pre-trained execution plan embeddings can guide SQ…