crawl4ai vs ragflow
The two are close in size: 84.6k stars for crawl4ai, 91.6k for ragflow.
crawl4ai leads on setup ease. ragflow does not take any axis by a clear margin.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
Open-source crawler that turns any website into LLM-ready Markdown with full browser control and optional hosted cloud + agent MCP integration.
- Stars
- 84.6k
- Tracked growth
- not tracked long enough
- Maturity
- ●●●●●
- Last commit
- 6d ago
- Language
- Python
- License
- Apache-2.0
- Cost to run
- Free to self-host; Crawl4AI Cloud is pay-as-you-go (first $10 free promotion)
Combines a production-grade RAG engine with agent orchestration and template-based document understanding to provide an agentic context layer for LLMs.
- Stars
- 91.6k
- Tracked growth
- +7.5%
- Maturity
- ●●●●●
- Last commit
- 2h ago
- Language
- Go
- License
- Apache-2.0
- Cost to run
- Your API key (paid LLMs); self-host or use cloud
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | crawl4ai | ragflow |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Whole-site crawl | ●●●●● Whole-repo analysis |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● Filters (BM25/LLM) | ●●●●● Re-ranking & citations |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Extensive configs | ●●●●● Config files & templates |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Fully local possible | ●●●●● Self-hostable |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Bring-your-own models | ●●●●● Bring-your-own key |
Setup ease What it takes to get a first useful run out of it. | ●●●●● One-command setup | ●●●●● Multi-service deploy |
Which one to pick
Pick crawl4ai if…
Privacy-first — self-host the browser and server to keep pages local while getting clean, LLM-friendly Markdown and structured extraction.
- Setup ease: One-command setup (5/5 against 1/5)
Pick ragflow if…
Self-hostable — choose RAGFlow when you need a production-ready, agentic RAG platform with template-based ingestion, grounded citations, and configurable LLM/embedding providers.
What people want from each one
unclecode/crawl4ai
infiniflow/ragflow
Hacker News: RAGFlow is an open-source RAG engine based on OCR and document parsing drew 230 points and 53 comments.
Questions people ask
Is crawl4ai better than ragflow?
crawl4ai leads on setup ease. ragflow does not take any axis by a clear margin. crawl4ai is worth picking when privacy-first — self-host the browser and server to keep pages local while getting clean, LLM-friendly Markdown and structured extraction.
Which of crawl4ai and ragflow keeps my code private?
crawl4ai: Fully local possible (5/5). ragflow: Self-hostable (4/5).
What does each one cost to run?
crawl4ai: Free to self-host; Crawl4AI Cloud is pay-as-you-go (first $10 free promotion). ragflow: Your API key (paid LLMs); self-host or use cloud.
Full profiles: unclecode/crawl4ai and infiniflow/ragflow. Everything else in RAG & retrieval.