Dify is a comprehensive, open-source LLM application development platform that combines AI workflow orchestration, RAG pipelines, and agent capabilities into a cohesive visual interface. It serves as a self-hostable alternative to platforms like Coze or LangSmith. In 2026, Dify is widely adopted by engineering teams that need to deploy production-ready AI applications rapidly without getting bogged down in boilerplate code. The platform seamlessly connects to hundreds of LLMs—both cloud providers like Anthropic and OpenAI, and local models via Ollama. It offers an advanced Prompt IDE, sophisticated RAG engine with built-in vector store support (Qdrant, Milvus, Weaviate), and a flexible visual builder for multi-step agentic workflows. By self-hosting Dify via Docker Compose, organizations can provide their teams with a powerful internal AI toolset while ensuring that proprietary documents uploaded for retrieval never leave the corporate firewall.
git clone https://github.com/langgenius/dify.git && cd dify/docker && docker-compose up -dYes, the standard Docker Compose installation includes Weaviate or Qdrant by default for immediate out-of-the-box RAG capabilities, though you can easily configure it to use an external vector database.
Absolutely. Dify allows you to quickly publish AI applications as standalone web apps or integrate them into your existing infrastructure via its automatically generated REST APIs.
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