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MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
Feb. 16, 2024, 5:48 a.m. | Bing Wang, Changyu Ren, Jian Yang, Xinnian Liang, Jiaqi Bai, Linzheng Chai, Zhao Yan, Qian-Wen Zhang, Di Yin, Xing Sun, Zhoujun Li
cs.CL updates on arXiv.org arxiv.org
Abstract: Recent LLM-based Text-to-SQL methods usually suffer from significant performance degradation on ``huge" databases and complex user questions that require multi-step reasoning. Moreover, most existing methods neglect the crucial significance of LLMs utilizing external tools and model collaboration. To address these challenges, we introduce MAC-SQL, a novel LLM-based multi-agent collaborative framework. Our framework comprises a core decomposer agent for Text-to-SQL generation with few-shot chain-of-thought reasoning, accompanied by two auxiliary agents that utilize external tools or models …
agent arxiv collaborative cs.cl framework mac multi-agent sql text text-to-sql type
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