Which is more popular, ragflow or UQLM?

ragflow has more GitHub stars (91,600 vs 1,207).

Which is more actively developed, ragflow or UQLM?

ragflow had more commits in the last 90 days (2,665 vs 91).

Should I use ragflow or UQLM?

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.

ragflow vs UQLM

Side-by-side comparison of two AI agent tools

Short answer

ragflow is growing faster: +2,412 GitHub stars in the last 30 days vs +12 for UQLM.
Pick ragflow for: open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs. Pick UQLM for: uQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination.

From GitHub data refreshed daily.

ragflowopen-source

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

UQLMopen-source

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

Metrics

	ragflow	UQLM
Stars	91.6k	1.2k
Star velocity /mo	2.4k	12.063492063492063
Commits (90d)	2.7k	91
Releases (6m)	10	10
Overall score	0.9150811116917444	0.5316705791000472

Pros

+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

+Research-backed uncertainty quantification methods published in top-tier academic journals (JMLR, TMLR)
+Multiple scorer types offering different trade-offs between latency, cost, and accuracy for flexible deployment
+Simple installation and integration with existing LLM workflows through PyPI distribution

Cons

-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

-Requires Python 3.10+ which may limit compatibility with older environments
-Different scorers add varying levels of latency and computational cost to LLM inference
-Limited to response-level scoring rather than token-level or real-time uncertainty detection

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

•Production LLM applications requiring confidence scores to filter or flag potentially unreliable outputs
•Research and development of hallucination detection systems and uncertainty quantification methods
•Quality assurance workflows for LLM-generated content in critical domains like healthcare or finance

View ragflow Details View UQLM Details

FAQ

Which is more popular, ragflow or UQLM?: ragflow has more GitHub stars (91,600 vs 1,207).
Which is more actively developed, ragflow or UQLM?: ragflow had more commits in the last 90 days (2,665 vs 91).
Should I use ragflow or UQLM?: 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.