langgenius/dify

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

What it solves

Dify provides a unified platform for developing LLM applications, reducing the friction of moving from a prototype to a production-ready app. It integrates various AI components—like model management, RAG pipelines, and agent capabilities—into a single intuitive interface.

How it works

Dify operates as an LLM app development platform that combines several core modules:

  • Visual Workflow: A canvas for building and testing AI workflows visually.
  • Model Support: Integration with hundreds of proprietary and open-source LLMs (e.g., GPT, Mistral, Llama3) via various providers.
  • Prompt IDE: A dedicated environment for crafting and comparing prompt performance.
  • RAG Pipeline: A system for document ingestion and retrieval, supporting formats like PDF and PPT.
  • Agent Framework: Support for agents based on ReAct or LLM Function Calling, with over 50 built-in tools (e.g., Google Search, DALL·E).
  • LLMOps: Tools for monitoring application logs and improving prompts and datasets based on production data.
  • BaaS: All features are accessible via APIs for integration into existing business logic.

Who it’s for

It is designed for developers and organizations looking to build, deploy, and maintain AI applications quickly, whether through a hosted cloud service or self-hosted community edition.

Highlights

  • Comprehensive Model Integration: Supports a vast array of LLMs and OpenAI-compatible APIs.
  • End-to-End Pipeline: Covers everything from prompt engineering to RAG and agent orchestration.
  • Production-Ready Tooling: Includes observability and LLMOps features to monitor and analyze performance.
  • Exportable APIs: Functions as a Backend-as-a-Service, allowing easy integration into external apps.