WHAT IS IT?
Dify is an open-source platform for building LLM-powered applications. It bundles a visual workflow editor, a RAG pipeline, agent creation and multi-model management into a single interface. The goal: shrink the gap between prototype and production while keeping full control over data and infra.
WHY IS IT INTERESTING?
- Visual canvas: Build and test AI workflows on a canvas, without rewriting code for every iteration. Developers can still drop into the APIs when needed.
- Solid RAG: Document ingestion pipeline (PDFs, docs, etc.) with extraction, chunking and vector search built in. Usable without rolling your own stack.
- Model-agnostic: Integrates hundreds of proprietary and open-source LLMs (OpenAI, Anthropic, Mistral, Llama, Ollama...). Swap providers without rewriting the app.
- Agents with tools: ReAct or function-calling agents with 50+ built-in tools (web search, math, APIs). Extensible via custom tools.
- Backend-as-a-Service: Ships APIs ready to plug into a frontend or chatbot. No need to write the orchestration server yourself.
- Built-in LLMOps: Logs, traces, cost and performance analytics. Observability baked in to debug and iterate on prompts.
USE CASES
- Stand up an internal chatbot wired to company documentation (RAG) in a few hours.
- Prototype multi-step agents before hardening them in code.
- Compare multiple LLMs on the same workflow to pick the best cost/quality tradeoff.
- Expose an AI API to product teams without rebuilding on every prompt change.