
Design, deploy, and manage AI agent workflows and RAG pipelines with a visual interface, integrating multiple large language models and data sources for team-wide applications.

Dify is a platform for building, deploying, and managing AI agents and applications with a focus on agentic workflows and retrieval-augmented generation (RAG). It enables teams to visually design complex AI-driven processes, connect them to data sources, and orchestrate multiple large language models (LLMs) without heavy engineering overhead. The primary purpose of Dify is to streamline the creation of production-ready AI workflows that can operate autonomously and scale across teams and environments.
Dify provides a visual, drag-and-drop workflow builder for constructing multi-step AI applications, including autonomous agents, task orchestration, and conditional logic. It supports integration with a wide range of global LLMs—open-source and proprietary—allowing users to switch, compare, and optimize models for specific tasks. Built-in RAG capabilities let users ingest data from various sources, transform it, and index it in vector databases for context-aware responses. The platform also includes observability tools for tracking agent behavior, monitoring performance, and debugging prompts and pipelines.
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