head to head · open source

ragflow vs LiteLLM

ragflow has 93,365 GitHub stars, 11,207 forks, 1,525 open issues and last shipped yesterday. LiteLLM has 62,569 stars, 12,940 forks, 5,022 open issues and last shipped yesterday. ragflow leads on adoption by 49% (93,365 vs 62,569 stars). ragflow is written in Go under Apache-2.0; LiteLLM is written in Python under a custom or non-standard licence. ragflow has attracted 12% as many forks as stars, LiteLLM 21%. LiteLLM was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

ragflow ★ 93K LiteLLM ★ 63K category AI & Machine Learning

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Side by side

ragflow LiteLLM
GitHub stars ★ 93K ★ 63K
License Apache-2.0 Custom / other
Written in Go Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 11K ⑂ 13K
Self-hosting Yes Yes
Data ownership Your server Your server

pick ragflow if

  • You weight community size — 93K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full ragflow profile →

pick LiteLLM if

  • You want the LiteLLM feature set and don't need the biggest community
  • You prefer the Custom / other license terms
  • Your stack matches Python
  • You evaluated both and LiteLLM fits your workflow better

full LiteLLM profile →

About ragflow

Cloud Documentation Roadmap Discord 📕 Table of Contents 💡 What is RAGFlow? 🎮 Get Started 🔥 Latest Updates 🌟 Key Features 🔎 System Architecture 🎬 Self Hosting 🔧 Configurations 🔧 Build a Docker Image 🔨 Launch Service from Source for Development 📚 Documentation 📜 Roadmap 🏄 Community 🙌 Contributing 💡 What is RAGFlow? RAGFlow is a leading open source Retrieval Augmented Generation (RAG) engine that fuses cutting edge RAG with Agent capabilities to create a superior context layer for LLMs. It offers a streamlined RAG workflow adaptable to enterprises of any scale. Powered by a converged context engine…

read the full ragflow overview →

About LiteLLM

🚅 LiteLLM LiteLLM AI Gateway Open Source AI Gateway for 100+ LLMs. Self hosted. Enterprise ready. Call any LLM in OpenAI format. LiteLLM Proxy Server (AI Gateway) Hosted Proxy Enterprise Tier Website What is LiteLLM LiteLLM is an open source AI Gateway that gives you a single, unified interface to call 100+ LLM providers — OpenAI, Anthropic, Gemini, Bedrock, Azure, and more — using the OpenAI format. Use it as a Python SDK for direct library integration, or deploy the AI Gateway (Proxy Server) as a centralized service for your team or organization. Jump to LiteLLM Proxy (LLM Gateway) Docs Jump to Supported LLM…

read the full LiteLLM overview →

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Frequently asked questions

Is ragflow or LiteLLM more popular?

ragflow has 93,365 GitHub stars and LiteLLM has 62,569. ragflow has the larger community by that measure.

Are ragflow and LiteLLM free?

Both are open source. ragflow is licensed under Apache-2.0, and LiteLLM has no licence declared in this registry. Both are free to self-host.

What is the difference between ragflow and LiteLLM?

ragflow is written in Go and LiteLLM in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, ragflow or LiteLLM?

Choose ragflow if you want the larger community (93,365 stars) or its Apache-2.0 licence terms. Choose LiteLLM if its feature set, stack or Custom / other licence fits better. Both are self-hostable.