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SQLBot

🔥 基于大模型和 RAG 的智能问数系统,对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.

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dockerJavaScripttext2sqlnl2sqlsqlbotchatbitext-to-sqlragllmdeepseek

SQLBot is an open-source conversational text-to-SQL system that uses large language models combined with RAG to generate SQL from natural-language questions. It is built by the DataEase team, ships with Docker support, and is primarily implemented in JavaScript.

You want users to query databases in natural language, with RAG used to improve the accuracy of generated SQL.

Use it to

  • Generate SQL from natural-language questions
  • Build a conversational BI (ChatBI) experience
  • Explore database data via chat
  • Integrate LLM-based nl2sql into analytics workflows

For Teams building conversational data query and analytics tools

Role
rag
Language
JavaScript
Licence
custom (licence file present)
Forks
879
Open issues
65
Last push
2026-09-17
Latest release
v1.0.0 · 2025-08-06
topicstext-to-sqlragllmchatbinl2sqldata-analysis