# RAGFlow

> RAGFlow is a free, open-source app you can self-host in the AI & LLM tools category. Open-source RAG engine with deep document understanding. It has 91,708 GitHub stars, is released under the Apache-2.0 license and ships a Docker image.

## Key facts

| Fact | Value |
|---|---|
| Repository | https://github.com/infiniflow/ragflow |
| Website | https://ragflow.io/ |
| GitHub stars | 91,708 |
| Forks | 10,893 |
| Open issues | 1,195 |
| License | Apache-2.0 |
| License type | Open source |
| Language | Go |
| Docker image | Yes |
| Platforms | Docker |
| Categories | AI & LLM Tools |
| Commits, last 12 months | 5,821 |
| Last commit | Oct 5, 2026 |
| Latest release | v1.0.0-rc1 (Sep 29, 2026) |
| Created | Dec 12, 2023 |
| Maintenance | Actively maintained |
| Archived | No |

Topics: ai, ai-agents, context-engine, rag, retrieval-augmented-generation, agentic-ai, agentic-retrieval, agentic-search, context-management, knowledge-compilation

## Install

RAGFlow ships a Docker image; follow the README at https://github.com/infiniflow/ragflow for the image name and environment variables.

Need it installed for you? [appsgit installation help](https://appsgit.com/services/install): a fixed quote by email, single app installs from $79.

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## Articles

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