knowledge-gpt vs ragflow
Side-by-side comparison of two AI agent tools
Short answer
- knowledge-gpt has had no commit in 37 months; ragflow is actively maintained (2,665 commits in the last 90 days).
- ragflow is growing faster: +2,412 GitHub stars in the last 30 days vs +-4 for knowledge-gpt.
- Pick knowledge-gpt for: accurate answers and instant citations for your documents. Pick ragflow for: open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs.
From GitHub data refreshed daily.
knowledge-gptopen-source
Accurate answers and instant citations for your documents.
ragflowopen-source
Open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs
Metrics
| knowledge-gpt | ragflow | |
|---|---|---|
| Stars | 1.6k | 91.6k |
| Star velocity /mo | -3.8095238095238098 | 2.4k |
| Commits (90d) | 0 | 2.7k |
| Releases (6m) | 0 | 10 |
| Overall score | 0.11571732146551812 | 0.9150811116917444 |
Pros
- +Provides instant citations with answers, ensuring transparency and verifiability of information sources
- +Easy local deployment with both Poetry and Docker installation options, giving users full control over their data
- +Built on established frameworks (Streamlit + Langchain) with active development and clear roadmap for advanced features
- +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 paid OpenAI API key for optimal performance and to avoid rate limits
- -Limited to 25MB file upload size in the hosted version, which may restrict use with larger documents
- -Currently supports limited document formats, though expansion is planned on the roadmap
- -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
- •Academic research where scholars need to quickly find and cite specific information from multiple research papers
- •Legal document review where attorneys need to extract relevant clauses and precedents with exact citations
- •Corporate knowledge management where teams need to query internal documentation and reports for specific information
- •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, knowledge-gpt or ragflow?
- ragflow has more GitHub stars (91,600 vs 1,628).
- Which is more actively developed, knowledge-gpt or ragflow?
- ragflow had more commits in the last 90 days (2,665 vs 0).
- Should I use knowledge-gpt 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.