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What is Dify?
Dify is an open-source platform for building AI applications — chatbots, agents, and workflows — through a visual interface backed by real infrastructure like vector databases and model routing. It's aimed at teams that want to ship an AI product without building the plumbing from scratch.
Key features
- Visual workflow builder for chaining prompts, tools, and logic
- Built-in RAG pipeline with vector database support
- Multi-model support across major LLM providers
- One-click deployment as a web app, API, or chat widget
- Team collaboration and version history for workflows
- Open-source, self-hostable, or available as managed cloud
How to get started
- Sign up for Dify Cloud, or self-host it via Docker
- Create a new app: chatbot, agent, or workflow
- Connect a model provider and, if needed, upload documents for RAG
- Build the logic visually with the workflow editor
- Publish as a web app, embeddable widget, or API endpoint
Use cases
- Customer support chatbots grounded in your own documents
- Internal knowledge base assistants
- Multi-step AI agents that call external tools
- Rapid prototyping of AI product ideas
- Embedding a chat widget into an existing website
Dify vs. alternatives
| Tool | How it compares |
|---|---|
| Dify | Visual orchestration platform for building and shipping AI apps. |
| n8n | broader automation instead of AI-app-specific |
| Flowise | lighter-weight, drag-and-drop LLM chains |
FAQ
Is Dify free to use?
Dify's plans: Open-source self-hosting, or paid Dify Cloud plans. Pricing and free-tier limits change over time, so check the official site above for the latest details.
What is Dify used for?
Visual orchestration platform for building and shipping AI apps.
Who is Dify best for?
Dify is a good fit for customer support chatbots grounded in your own documents, or internal knowledge base assistants.
What are the alternatives to Dify?
Commonly compared alternatives include n8n and Flowise, see the comparison above for how they differ.
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Last reviewed: 2026-08 · Reviewed by AIKetra editors · How we evaluate tools
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