现在你的经纪人可以在你的电脑里找到任何东西。

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[!重要] 在寻找原版AutoRAG（RAG AutoML/流水线优化工具）吗？ 本仓库现托管 AutoRAG 2.0，这是将 AutoRAG 完全重新构想为您办公室工作的个人图书管理员代理。最初基于 Python 的 AutoRAG —— 用于自动寻找数据最佳 RAG 流水线的 RAG AutoML 工具——现存于该仓库的 legacy/ 目录中。

遗留的AutoRAG并未被放弃。 它仍在维护模式下进行维护（通过pip install AutoRAG修复错误、依赖更新和PyPI发布）。现有用户可以继续使用它——详见遗留README中的文档，文件问题也如常在本仓库中处理。新功能开发重点是AutoRAG代理（2.0）。

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🖥️ 桌面应用

一个能理解你文件内容的电脑Finder。 AutoRAG桌面应用让这个图书管理员拥有真正的文件管理器：浏览你的 像往常一样，然后提问，得到一个引用文件的答案， 聊天和邮件。

AutoRAG Agent

Now your agent can find anything in your computer.

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[!IMPORTANT] Looking for the original AutoRAG (RAG AutoML / pipeline optimization tool)? This repository now hosts AutoRAG 2.0, a complete reimagining of AutoRAG as a personal librarian agent for your office work. The original Python-based AutoRAG — the RAG AutoML tool for automatically finding an optimal RAG pipeline for your data — now lives in the legacy/ directory of this repository.

The legacy AutoRAG is NOT abandoned. It continues to be maintained (bug fixes, dependency updates, and PyPI releases via pip install AutoRAG) in maintenance mode. Existing users can keep using it exactly as before — see the legacy README for its documentation, and file issues in this repository as usual. New feature development is focused on AutoRAG Agent (2.0).

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🖥️ The desktop app

A Finder for your computer that understands what’s inside your files. The AutoRAG desktop app puts this librarian behind a real file manager: browse your folders as usual, then ask a question and get an answer that cites the files, chats, and mail it came from. Everything it searches with is the engine in this repository.

🔎 Just ask

Ask the way you’d ask a teammate. The librarian reads the files and writes back, every claim linked to the passage behind it. Drag files, folders, or links into a question to ask about just those.