Langfuse vs ragflow

Side-by-side comparison of two AI agent tools

Short answer

  • Pick Langfuse for: open-source LLM engineering platform for observability, evaluation, prompt and dataset management. Pick ragflow for: open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs.

From GitHub data refreshed daily.

Langfuseopen-source

Open-source LLM engineering platform for observability, evaluation, prompt and dataset management

ragflowopen-source

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

Metrics

Langfuseragflow
Stars35.3k91.6k
Star velocity /mo1.8k2.4k
Commits (90d)2.0k2.7k
Releases (6m)1010
Overall score0.90672926166320360.9150811116917444

Pros

  • +Open source with MIT license allowing full customization and transparency, plus active community support
  • +Comprehensive feature set combining observability, prompt management, evaluations, and datasets in one platform
  • +Extensive integrations with major LLM frameworks and tools including OpenTelemetry, LangChain, and OpenAI SDK
  • +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

  • -May require significant setup and configuration for self-hosted deployments
  • -Could be overwhelming for simple use cases that only need basic LLM monitoring
  • -Self-hosting requires technical expertise and infrastructure resources
  • -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

  • •Production LLM application monitoring to track performance, costs, and identify issues in real-time
  • •Prompt engineering and management for teams collaborating on optimizing model prompts and tracking versions
  • •LLM evaluation and testing to measure model performance across different datasets and use cases
  • •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
View Langfuse DetailsView ragflow Details

FAQ

Which is more popular, Langfuse or ragflow?
ragflow has more GitHub stars (91,600 vs 35,301).
Which is more actively developed, Langfuse or ragflow?
ragflow had more commits in the last 90 days (2,665 vs 2,007).
Should I use Langfuse or ragflow?
Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.