spring-ai-alibaba/DataAgent

Health v2 · maintenance only

Adoption not part of the score

2550 stars · 602 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An enterprise-grade AI data analyst agent built on Spring AI Alibaba Graph that converts natural language to SQL, runs Python deep analysis in sandboxed containers, and generates chart-rich HTML/Markdown reports. It supports RAG over business metadata, pluggable vector databases, OpenAI-compatible models, and can serve as an MCP server.

Use cases

• convert natural language questions into SQL queries
• build an AI data analyst for my company database
• generate charts and reports from database queries automatically
• run generated Python analysis code in a sandbox
• expose text-to-SQL as an MCP tool server
• improve SQL generation accuracy with a business glossary via RAG

When to choose

• you're on the JVM/Spring stack and want an LLM-powered analytics agent
• you need text-to-SQL plus Python deep analysis and report generation in one system
• you want MCP integration and pluggable vector databases with OpenAI-compatible models

When to avoid

• you need a lightweight library to embed rather than a full self-hosted application
• you're outside the Java/Spring ecosystem and don't want to run JDK 17+, MySQL, and Docker
• you only need simple single-table NL2SQL without agent workflows

Facets

application · maturity active

agent-framework rag llm-inference mcp data-visualization database chatbot artificial-intelligence data-science databases analytics large-language-models jvm self-hosted text-to-sql nl2sql spring-ai data-analysis echarts human-in-the-loop python-sandbox openai-compatible ai-agents retrieval-augmented-generation docker web-server nodejs

Member repositories

For agents

markdown · JSON · MCP: product_card(name="spring-ai-alibaba/DataAgent")