Dify is an AI workflow builder designed to help teams develop, deploy, and manage autonomous agents, RAG pipelines, and other AI applications efficiently. Key features include:
- Drag-and-drop workflow creation: Visually build AI apps and workflows for diverse tasks.
- Global LLM integration: Access, switch, and compare performance of various large language models (open-source and proprietary).
- RAG pipelines: Prepare data for LLMs by extracting, transforming, and indexing from multiple sources.
- MCP integration: Bridge systems and platforms using standardized protocols for APIs, databases, and services.
- Backend-as-a-Service: Handle complexities like scalability, stability, and security, allowing focus on AI development.
- Tool and plugin support: Expand AI application capabilities with plugins and universal MCP server publishing.
Use cases include enterprise AI transformation, rapid prototyping, and deploying production-ready agentic workflows across industries like biomedicine and automotive. Target users are developers and teams seeking to scale AI applications without infrastructure overhead.
