Dify

Dify turns LLM app development into an engineering pipeline: build on a visual canvas where each node is testable, and unify RAG retrieval, function calling, and tool use under a single execution semantics you can audit. It optimizes continuity from prototype to production by linking workflows, datasets, model routing, and runtime logs instead of focusing on prompt editing alone. Self-hosting is streamlined via Docker and Docker Compose, compressing infra complexity into a single configuration while keeping room to plug in your own retrieval sources and business APIs. For product teams, it behaves like a pluggable AI Backend-as-a-Service: your apps call one API surface and inherit chat, retrieval, and evaluation capabilities without rebuilding the stack.