OpenSearch-SQL introduces a novel four-module framework that significantly improves the conversion of natural language questions into SQL queries using Large Language Models.

• Structured Approach: Divides Text-to-SQL into Preprocessing, Extraction, Generation, and Refinement modules
• Dynamic Few-Shot Learning: Adapts to different query scenarios with flexible examples
• Consistency Alignment: Reduces hallucinations and improves instruction adherence
• Engineering Impact: Provides a comprehensive solution to limitations in current LLM-based SQL generation

This framework addresses critical challenges in database query generation, offering businesses more reliable and accurate data retrieval from natural language inputs.

OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment