1. Project Overview

A Chinese-developed generative SQL Java framework! Lightweight, easy to use, and easy to extend!

Super-Sql

2. Open Source License

Licensed under Apache-2.0

3. Screenshots

Effectiveness executed in the database.

4. Feature Overview

Main features include:

• Generative SQL
  : Utilize powerful generative large models to automatically convert natural language questions into precise SQL query statements.
• RAG Training
  : Train database table structures using retrieval-augmented generation technology to improve SQL generation accuracy and efficiency.
• Type Safety and Flexibility
  : Combine Java's generic mechanism to ensure compile-time type checking while providing a concise and intuitive API design, easy to integrate into existing projects.
• Multi-Database Support
  : Compatible with multiple mainstream database systems, meeting the needs of different application scenarios.
• Performance Optimization
  : Carefully designed and optimized to maintain good readability while ensuring high efficiency execution.

Super-Sql is suitable for those who want to perform complex database operations quickly and securely in Java applications and want to use natural language processing technology to quickly enable AI for traditional enterprise applications.

Super-Sql Working Principle

Super-Sql's working principle is based on RAG technology, using retrieval-augmented generation technology to train database table structures through deep learning, achieving intelligent conversion from natural language text to SQL queries.

5. Tech Stack

Super-Sql Quick Start

Import Super-Sql's Maven dependency

<dependency>
    <groupId>com.aispace.supersql</groupId>
    <artifactId>super-sql-spring-boot-starter</artifactId>
    <version>1.0.0-M1-SNAPSHOT</version>
</dependency>

Configure Super-Sql's configuration file

Configure init-train configuration item, default is false, indicating no training, if true, automatically train according to database connection configuration for full-table training.

super-sql:
  init-train: false

Large Language Model Configuration

More content, please refer to README.md document

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