n8n vs ragflow

Side-by-side comparison of two AI agent tools

Short answer

  • n8n is growing faster: +4,001 GitHub stars in the last 30 days vs +2,420 for ragflow.
  • Pick n8n for: fair-code workflow automation platform with native AI capabilities. Pick ragflow for: open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs.

From GitHub data refreshed daily.

n8nfree

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

ragflowopen-source

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

Metrics

n8nragflow
Stars206.4k91.6k
Star velocity /mo4.0k2.4k
Commits (90d)3.6k2.7k
Releases (6m)1010
Overall score0.93805388653456520.921133106599317

Pros

  • +Hybrid approach combining visual workflow building with full JavaScript/Python coding capabilities when needed
  • +AI-native platform with LangChain integration for building sophisticated AI agent workflows using custom data and models
  • +Fair-code license ensures source code transparency with self-hosting options, providing data control and deployment flexibility
  • +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 knowledge to fully leverage coding capabilities and advanced features
  • -Self-hosting demands infrastructure management and maintenance overhead
  • -Fair-code license restricts commercial usage at scale without enterprise licensing
  • -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

  • •Building AI agent workflows that process customer data using LangChain and custom language models
  • •Automating complex business processes that require both API integrations and custom business logic
  • •Creating data synchronization pipelines between multiple SaaS tools while maintaining full control over sensitive data through self-hosting
  • •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, n8n or ragflow?
n8n has more GitHub stars (206,425 vs 91,573).
Which is more actively developed, n8n or ragflow?
n8n had more commits in the last 90 days (3,611 vs 2,669).
Should I use n8n or ragflow?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.