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πŸ“– The AI Tool Bible

RAGFlow vs UltraRAG

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

Tagline
RAGFlow
Open-source RAG engine with deep document parsing, hybrid search, and visual agent orchestration.
UltraRAG
Low-code, YAML-driven RAG pipeline orchestrator with a visual UI for building and demoing retrieval systems.
Pricing
RAGFlow
FreemiumΒ· Free tier; Starter $29/mo; Pro $129/mo; Enterprise custom
UltraRAG
FreeΒ· Open source; self-hosted
Free trial
RAGFlow
Yes
UltraRAG
Yes
API
RAGFlow
Yes
UltraRAG
Yes
Platforms
RAGFlow
api
UltraRAG
api
Open source
RAGFlow
Yes Β· Apache-2.0
UltraRAG
Yes
GitHub stars
RAGFlow
91,511
checked 2026-09-29
UltraRAG
β€”
Last GitHub push
RAGFlow
2026-09-29
UltraRAG
β€”
First commit
RAGFlow
2023-12
UltraRAG
β€”
Model used
RAGFlow
Multi-model
UltraRAG
Multi-model (MiniCPM-Embedding-Light, AgentCPM-Report, BYO LLM)
Best for
RAGFlow
Pick RAGFlow if you need a self-hostable, citation-grounded RAG stack that can actually digest gnarly enterprise documents and feed agents.
UltraRAG
Pick UltraRAG if you want a transparent, self-hosted RAG orchestrator with a visual UI and YAML-driven loops, not a hosted black box.
Not for
RAGFlow
Skip it if you just want a hosted chat-with-PDF widget or you're allergic to running your own infrastructure.
UltraRAG
Skip it if you need a managed SaaS RAG service with SLAs, or you'd rather build directly on LangChain/LlamaIndex's larger ecosystem.
Editorial score
RAGFlow
8.1 / 10
UltraRAG
7.1 / 10
Use cases
RAGFlow
document-qaenterprise-searchagent-orchestrationknowledge-basehybrid-retrieval
UltraRAG
rag-pipelinesknowledge-base-qapipeline-orchestrationrag-evaluationagentic-retrieval
Pros
RAGFlow
  • Strong deep-document parsing for messy PDFs, tables, and scans
  • Hybrid vector + BM25 retrieval with citation-grounded answers
  • Fully open-source with active GitHub repo and self-host option
  • Visual agent builder plus MCP integration for tool-calling clients
  • Model-agnostic; works with most major LLM providers
UltraRAG
  • Fully open source under OpenBMB - no vendor lock-in
  • YAML pipelines support loops and conditionals, not just linear chains
  • Visual UI for knowledge-base management and demoing
  • Transparent step-by-step inspection of every retrieval and generation call
Cons
RAGFlow
  • Free tier blocks API access, pushing real use to paid plans
  • Self-hosting is non-trivial and resource-hungry
  • Documentation and UI lag behind the engine's capabilities
UltraRAG
  • Self-hosted only - you bring the infra and GPU
  • Reference stack leans on OpenBMB's own MiniCPM models
  • Smaller ecosystem and community than LangChain/LlamaIndex
  • Docs are research-flavored; production hardening is on you
Website
RAGFlow
ragflow.io

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) β€” not a user rating; β€œβ€”β€ means unscored. β€œNot listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.

Pick RAGFlow if
  • βœ… Strong deep-document parsing for messy PDFs, tables, and scans
  • βœ… Hybrid vector + BM25 retrieval with citation-grounded answers
  • βœ… Fully open-source with active GitHub repo and self-host option
  • βœ… Visual agent builder plus MCP integration for tool-calling clients
Pick UltraRAG if
  • βœ… Fully open source under OpenBMB - no vendor lock-in
  • βœ… YAML pipelines support loops and conditionals, not just linear chains
  • βœ… Visual UI for knowledge-base management and demoing
  • βœ… Transparent step-by-step inspection of every retrieval and generation call