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Needs tinkeringApache-2.0⚪ Tested only

RAGFlow

In one line:RAGFlow 是一个给要把文档变成可问数据的团队用的开源 RAG 引擎,能把复杂文档切成高质量上下文。

RAGFlow 是一个给要把文档变成可问数据的团队用的开源 RAG 引擎,能把复杂文档切成高质量上下文。

Official source

We host and mirror nothing — the official page is the source of truth.

No hotlinkable official icon; showing a generated placeholderR InfiniFlowhttps://github.com/infiniflow/ragflowOpen official page
Official sourceYou are leaving AIWorksWell for InfiniFlow. That site is not under our control; its content, privacy and security are its own responsibility. Please judge for yourself.

Install prompt

Copy it, paste it into your AI (Claude Code, Codex, ChatGPT…), and it installs and verifies for you.

47 lines
我需要你帮我在我的机器上安装并运行一个软件。

【软件信息】
名称:RAGFlow
用途:RAGFlow 是一个给要把文档变成可问数据的团队用的开源 RAG 引擎,能把复杂文档切成高质量上下文。
官方来源:https://github.com/infiniflow/ragflow
许可:Apache-2.0
Scroll inside the box with your mouse wheel — copying still gives you the full prompt1201 chars

Copy → paste into your own AI → it installs for you

Contact the original author (InfiniFlow)

Bugs in the software itself go to the author's own official channel — that is where they actually receive them. We pass things on; we do not answer for the author.

Install failed?

Paste the raw error — once triaged and verified it is written back here, so the next person's AI avoids it. No login needed.

About this entry

What it is

RAGFlow 是开源的检索增强生成引擎(Apache-2.0 许可),给大模型做一层上下文。来源:https://ragflow.io/https://ragflow.io/

  • 卖点在文档解析质量:官方原话「Quality in, quality out」
  • 预置 Agent 模板,流程可按企业规模调
  • 云端与本地 Docker 两条部署路

Getting it running

主推「复制提示词」——粘贴给你的 AI(Claude Code / Codex / ChatGPT)代装。人工兜底:按官方文档用 Docker 起服务,配好模型与向量库,上传文档后试一次问答。验证:能对上传的文档问出带出处的答案。来源:https://ragflow.io/docs/dev/https://ragflow.io/docs/dev/

以上坑来自 https://ragflow.io/https://ragflow.io/ 与它的官方文档。

来源与署名

Mentioned from:GitHub · 原作者 InfiniFlow(Apache-2.0)。

Summary for AI

RAGFlow 把文档解析、切片、检索与 Agent 编排串成一条 RAG 流水线,官方自述长处是"垃圾进垃圾出"之外的文档解析质量。它给 Docker 本地部署与云端两条路,企业规模可调;检索结果可以接自己的模型,也能直接用预置的 Agent 模板。

A self-contained answer paragraph — this is the part AI search quotes. · Page reviewed 2026-10-22

FAQ

它和向量库是什么关系?

它是上层引擎,负责解析与编排;底层向量库可换,不是二选一。

只能自建吗?

官方同时给云服务与本地 Docker 部署两条路,本地那条的数据留在自己机器上。

Pitfalls / known issues

All recorded from real installs, and injected into the prompt above.

  • •文档解析质量决定上限,扫描件与复杂版式要先试切片效果。
  • •版本迭代快,升级前先看 release notes 的破坏性变更。
  • •本地部署吃资源,模型与解析器各自要占内存。

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We store, mirror and repackage nothing. Every install path points to the author’s own official page.

Nothing here has been reviewed by an app store. Judge the source and licence yourself; you install at your own risk.