Open WebUI vs ragflow

Side-by-side comparison of two AI agent tools

Short answer

  • Open WebUI is growing faster: +3,942 GitHub stars in the last 30 days vs +2,412 for ragflow.
  • Pick Open WebUI for: user-friendly AI Interface (Supports Ollama, OpenAI API, ...). Pick ragflow for: open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs.

From GitHub data refreshed daily.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

ragflowopen-source

Open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs

Metrics

Open WebUIragflow
Stars153.8k91.6k
Star velocity /mo3.9k2.4k
Commits (90d)1.5k2.7k
Releases (6m)1010
Overall score0.88729497379707790.9150811116917444

Pros

  • +Multi-provider AI integration supporting both local Ollama models and remote OpenAI-compatible APIs in a single interface
  • +Self-hosted deployment with complete offline capability ensuring data privacy and security control
  • +Enterprise-grade user management with granular permissions, user groups, and admin controls for organizational deployment
  • +结合了先进的RAG技术和Agent能力,提供比传统RAG更强大的功能
  • +开源且拥有活跃社区支持,GitHub星数超过7.6万,可信度高
  • +提供云服务和Docker容器化部署,支持多种部署方式

Cons

  • -Requires technical expertise for initial setup and maintenance of Docker/Kubernetes infrastructure
  • -Self-hosting demands dedicated server resources and ongoing system administration
  • -Limited to local deployment model, lacking the convenience of managed cloud AI services
  • -作为相对复杂的RAG系统,可能需要一定的技术背景才能充分配置和优化
  • -大规模部署可能需要相当的计算资源和存储空间

Use Cases

  • •Enterprise organizations deploying private AI assistants with strict data governance and user access controls
  • •Development teams building local AI workflows with multiple model providers while maintaining code and data privacy
  • •Educational institutions providing students and faculty with controlled AI access without external data sharing
  • •企业知识库问答系统,基于内部文档为员工提供智能查询服务
  • •智能客服系统,结合产品文档和FAQ提供准确的客户支持
  • •研究助手应用,帮助研究人员从大量学术文献中检索相关信息

FAQ

Which is more popular, Open WebUI or ragflow?
Open WebUI has more GitHub stars (153,800 vs 91,600).
Which is more actively developed, Open WebUI or ragflow?
ragflow had more commits in the last 90 days (2,665 vs 1,515).
Should I use Open WebUI or ragflow?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.