Bifrost AI Gateway vs ragflow
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 +832 for Bifrost AI Gateway.
- Pick Bifrost AI Gateway for: fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode. Pick ragflow for: open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs.
From GitHub data refreshed daily.
Bifrost AI Gatewayopen-source
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
ragflowopen-source
Open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs
Metrics
| Bifrost AI Gateway | ragflow | |
|---|---|---|
| Stars | 8.5k | 91.6k |
| Star velocity /mo | 831.9047619047619 | 2.4k |
| Commits (90d) | 2.1k | 2.7k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.887101210781037 | 0.9150811116917444 |
Pros
- +Exceptional performance with sub-100 microsecond overhead and 50x speed improvement over alternatives like LiteLLM
- +Unified API supporting 15+ major AI providers through OpenAI-compatible interface, eliminating vendor lock-in
- +Zero-configuration deployment with built-in web UI for easy setup, monitoring, and real-time analytics
- +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
- -Relatively new project with limited community ecosystem compared to established alternatives
- -Enterprise features like clustering and advanced guardrails may require separate licensing or deployment tiers
- -Documentation and production deployment examples appear limited based on current repository state
- -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
- •High-traffic production applications requiring sub-millisecond AI API response times with automatic provider failover
- •Enterprise teams needing unified access to multiple AI providers with governance, monitoring, and cost optimization
- •Development teams building AI applications who want to avoid vendor lock-in while maintaining OpenAI API compatibility
- •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, Bifrost AI Gateway or ragflow?
- ragflow has more GitHub stars (91,600 vs 8,517).
- Which is more actively developed, Bifrost AI Gateway or ragflow?
- ragflow had more commits in the last 90 days (2,665 vs 2,073).
- Should I use Bifrost AI Gateway 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.