A Result Paper on LLM - Based Query Generation

Abstract

The project, “LLM-Based Natural Language Query Generation System,” presents an intelligent AI-driven platform that enables users to interact with databases using natural language instead of structured query language (SQL). The system leverages Large Language Models (LLMs) to interpret user queries, convert them into syntactically correct SQL statements, and execute them on relational databases to retrieve accurate results.

The system generates dynamic SQL queries based on user intent, supports complex queries (joins, aggregations, filtering), and returns structured outputs. Experimental evaluation shows that the system achieves high accuracy in understanding natural language queries and significantly reduces the need for manual SQL writing.