Aix-DB
An intelligent data analysis system based on large language models and RAG technology, enabling conversational data analysis.
- Type
- MCP
- Transport
- http
- Open source
- Yes
- GitHub Stars
- ★ 2.2k
- Source
- mcp-github
- Repository
- github.com/apconw/Aix-DB
Overview
Aix-DB is a data analysis tool built on the LangChain/LangGraph framework and the MCP Skills multi-agent collaboration architecture. It transforms natural language into data insights, supports multiple database types, and provides data visualization capabilities. With Aix-DB, users can perform data queries using natural language and quickly retrieve and display results. Suitable for enterprises and individuals requiring efficient data analysis.
Capabilities
- ▪Natural language to SQL conversion
- ▪Multi-database support
- ▪Data visualization
- ▪Multi-agent collaboration
- ▪Intent understanding
- ▪Knowledge retrieval
Use cases
Setup
docker run -d --name aix-db --restart unless-stopped -e TZ=Asia/Shanghai -e SERVER_HOST=0.0.0.0 -e SERVER_PORT=8088 -e SERVER_WORKERS=2 -e LANGFUSE_TRACING_ENABLED=false -e LANGFUSE_SECRET_KEY= -e LANGFUSE_PUBLIC_KEY= -e LANGFUSE_BASE
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
What databases does Aix-DB support?
Supports MySQL, PostgreSQL, Oracle, SQL Server, ClickHouse, Dameng, Apache Doris, StarRocks, and more.
How do I deploy Aix-DB?
Recommended deployment via Docker; see documentation for specific commands.
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