dataease/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.
What it solves
SQLBot is a conversational data analysis system (ChatBI) that allows users to query their data using natural language. It eliminates the need for complex manual SQL writing by converting user questions into executable SQL queries to retrieve data and generate visual charts.
How it works
The system leverages Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to perform high-quality Text-to-SQL conversion. It uses a combination of LLM natural language understanding and RAG to ensure the generated SQL is accurate and based on the same data source.
Who it’s for
Business users and data analysts who want to quickly extract information and insights from databases without needing to deep technical SQL knowledge, as well as developers looking to integrate conversational data querying capabilities into existing applications like n8n, Dify, and MaxKB.
Highlights
- Out-of-the-box experience: Simple configuration of LLMs and data sources allows for rapid deployment.
- Enterprise-grade security: Features workspace-level resource isolation and fine-grained data permission controls.
- Easy integration: Supports Web embedding, popup embedding, and MCP calls for integration into other AI platforms.
- Continuous improvement: Supports custom prompts, terminology libraries, and SQL example calibration to improve accuracy over time based on user interaction data.
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