dataease/SQLBot

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

6688 stars · 851 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

SQLBot is an open-source conversational data analysis (ChatBI) system that converts natural language questions into SQL queries using large language models combined with RAG. It provides a web interface for querying databases, generating visualizations, and can be embedded into other applications or invoked via MCP.

Use cases

• ask questions about my database in natural language
• text-to-sql generation with RAG
• chatbi conversational data analysis
• generate charts from natural language queries
• embed nl2sql querying into my app
• let non-technical users query a database safely
• connect deepseek or openai to my database for analytics

When to choose

• you want a self-hosted, out-of-the-box ChatBI tool with Docker deployment
• you need fine-grained data permissions and workspace isolation for natural-language querying
• you want to embed text-to-SQL capabilities into apps like n8n, Dify, MaxKB, or DataEase
• you use OpenAI-compatible LLM providers (DeepSeek, Gemini, Kimi, etc.)

When to avoid

• you need a general-purpose BI suite rather than conversational querying
• you cannot expose your database schema to an external LLM provider and don't want LLM involvement
• you need fully hand-tuned SQL with no generated queries

Facets

application · maturity active

rag llm-inference chatbot data-visualization database prompt-engineering mcp large-language-models databases analytics data-visualization self-hosted self-hosted python text-to-sql nl2sql chatbi text2sql conversational-analytics bi retrieval-augmented-generation docker linux web-server

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For agents

markdown · JSON · MCP: product_card(name="dataease/SQLBot")