Original Summary

I’ve been building dig data , a self-hosted AI analytics tool for teams that want to explore business data without moving their database to a hosted analytics platform. You run it with Docker on your own server, connect it to PostgreSQL, MySQL, MariaDB, or MongoDB, and let your team ask questions in plain language. Features: Docker image for Linux amd64 and arm64 Natural-language database questions PostgreSQL, MySQL, MariaDB, and MongoDB support Anthropic or OpenAI API support Read-only database queries with bounded results Team accounts and source-level permissions Dashboards and saved insights Shared business definitions Audit history Docker Compose setup The screenshot shows an example dashboard using synthetic fintech PostgreSQL data. It’s currently a free beta. You provide the server, database credentials, and AI provider API key. The application and database connections run on your infrastructure, while relevant questions, schema details, and bounded results may be sent to the AI provider you configure. Website and setup guide: https://digdata.mhesham099.chatgpt.site I built this because I wanted a simple way for teams to ask useful questions about their own data while keeping the application and database connections under their control. I’d appreciate feedback on: The setup experience The usefulness of the answers and dashboards Which databases should be supported next Security or deployment concerns Features that would make this more useful for a small team Disclosure: I built dig data and this is my project. It is currently a beta, not a finished enterprise product.   submitted by   /u/mheshm [link]   [comments]

中文概览

中文标题： 我构建了一个用于向数据库提问的自托管 AI 分析工具

作者自述构建了 dig data：一个自托管 AI 分析工具，用 Docker 在自有服务器运行，可连接 PostgreSQL、MySQL、MariaDB 或 MongoDB，让团队用自然语言提问。支持 Anthropic 或 OpenAI API、只读且有界查询、团队账户与源级权限、仪表盘和保存洞察、共享业务定义、审计历史及 Docker Compose。目前为免费 beta，需自备服务器、数据库凭据和 AI 提供商 API key。

  • 情报分类：开源项目与落地
  • 分类依据：作者自述构建并发布自托管AI分析工具，属项目落地实践。
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/23 22:26:43