XiYan-SQL introduces a novel framework that leverages multiple language model generators to significantly improve natural language to SQL query conversion accuracy.

• Multi-generator ensemble strategy improves candidate SQL query generation
• M-Schema representation enhances database structure understanding
• In-context learning integration increases quality and diversity of SQL outputs
• Engineering innovation bridges the gap between natural language requests and database interactions

This research matters for engineering teams by providing a more reliable approach to database querying through natural language, enabling non-technical users to access data without SQL expertise.

A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL