统一模块化框架，让复杂文本转SQL更高效可靠
Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks
- 构建通用执行范式与七类原子角色协同机制
- 多任务基准测试中协作流程优于单个方法
- 适合需要处理真实复杂查询的系统开发者
文本转SQL技术发展迅速，学术方法成果显著，但实际系统部署仍面临集成工具匮乏的挑战。为此，本文提出Squrve——一个统一、模块化且全面的文本转SQL框架，旨在融合研究成果与真实应用场景。Squrve首先建立通用执行范式，标准化调用接口；随后提出基于七个抽象原子角色的多智能体协作机制。在多个主流基准上的实验表明，协作工作流持续优于原始独立方法，为解决复杂真实查询开辟了新路径。代码已开源：https://github.com/Satissss/Squrve。
原文摘要 · Abstract (English)
Text-to-SQL technology has evolved rapidly, with diverse academic methods achieving impressive results. However, deploying these techniques in real-world systems remains challenging due to limited integration tools. Despite these advances, we introduce Squrve, a unified, modular, and extensive Text-to-SQL framework designed to bring together research advances and real-world applications. Squrve first establishes a universal execution paradigm that standardizes invocation interfaces, then proposes a multi-actor collaboration mechanism based on seven abstracted effective atomic actor components. Experiments on widely adopted benchmarks demonstrate that the collaborative workflows consistently outperform the original individual methods, thereby opening up a new effective avenue for tackling complex real-world queries. The codes are available at https://github.com/Satissss/Squrve.
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