Dify vs RAGFlow

Dify and RAGFlow are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Dify

Open-source LLM app development platform combining AI workflow, RAG pipeline, agent capabilities, model management, observability features and more.

RAGFlow

Open-source RAG engine with deep document understanding, hybrid search, and agentic workflow orchestration.

Attribute	Dify	RAGFlow
Pricing	Paid	Paid
Price	$59/mo	$29/mo
Free trial	No	No
Open source	No	Yes
Has API	Yes	Yes
Self-hosted option	Yes	Yes
Platforms	Docker, Kubernetes, Linux, macOS, Windows	Docker, Kubernetes, Linux, macOS, cloud (cloud.ragflow.io)
Languages	English, Mandarin Chinese, and community translations	—
Released	2023	2024-04
Pros	Comprehensive all-in-one platform covering workflows, RAG, agents, and observability Visual drag-and-drop interface accessible to non-technical users Extensive LLM support including proprietary and open-source models Self-hosted option with Docker/Kubernetes deployment Backend-as-a-Service with built-in APIs for all applications	Deep document understanding and structure recognition reduce noise and hallucinations Unified agentic platform—RAG, tools, and MCPs in one orchestration layer Fully open source, self-hostable, and enterprise-ready deployment options Rich visual UI with workflow builder, citation tracking, and chunking visualization Active community and rapid iteration; frequent feature and model updates
Cons	Restrictive open-source license prohibits developing competing services Multiple workspaces require Enterprise license in self-hosted mode Learning curve for advanced features and custom integrations	Complex stack requiring Docker, Elasticsearch or Infinity, MySQL, MinIO, Redis—steep DevOps overhead Slower time-to-value for prototyping compared to managed SaaS alternatives Documentation and community libraries smaller than mature frameworks like LangChain

Bottom line

RAGFlow is open source; Dify runs on Docker, Kubernetes, Linux, macOS, Windows; RAGFlow on Docker, Kubernetes, Linux, macOS, cloud (cloud.ragflow.io). Pick the difference that actually blocks you.

Frequently asked questions

What is the difference between Dify and RAGFlow?

Dify is Paid, while RAGFlow is Paid and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Dify better than RAGFlow?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

Dify vs RAGFlow: which should I pick?

Pick Dify if its pricing model, openness, or platform fit matches your constraints; pick RAGFlow otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.