head to head · open source
ragflow vs LiteLLM
ragflow has 90,911 GitHub stars, 10,764 forks, 1,525 open issues and last shipped yesterday. LiteLLM has 59,036 stars, 11,545 forks, 5,022 open issues and last shipped yesterday. ragflow leads on adoption by 54% (90,911 vs 59,036 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 20%. 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.
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Side by side
| ragflow | LiteLLM | |
|---|---|---|
| GitHub stars | ★ 91K | ★ 59K |
| License | Apache-2.0 | Custom / other |
| Written in | Go | Python |
| Last push | 2026-09-18 | 2026-09-18 |
| Forks | ⑂ 11K | ⑂ 12K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ragflow if
- You weight community size — 91K 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
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
About ragflow
RAGFlow is an open source Retrieval Augmented Generation engine that fuses RAG with agent capabilities into a context layer for large language models, built for developers and teams that need to turn complex, unstructured documents into production AI systems.
read the full ragflow overview →
About LiteLLM
LiteLLM is an open source AI gateway that provides a unified interface to call over 100 large language model (LLM) providers—including OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, Google VertexAI, and vLLM—using the OpenAI compatible API format. It runs as both a Python SDK for direct integration and as a standalone proxy server for centralized, team or organization wide use.
read the full LiteLLM overview →
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Frequently asked questions
Is ragflow or LiteLLM more popular?
ragflow has 90,911 GitHub stars and LiteLLM has 59,036. 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 (90,911 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.