dify README

The project's README from github.com/langgenius/dify. As one markdown file: README.md.

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Dify Cloud · Self-hosting · Documentation · Dify edition overview

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Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features:

Quick start

Before installing Dify, make sure your machine meets the following minimum system requirements:

  • CPU >= 2 Core
  • RAM >= 4 GiB

The easiest way to start the Dify server is through Docker Compose. Before running Dify with the following commands, make sure that Docker and Docker Compose v2.24.0 or later are installed on your machine:

cd dify
cd docker
cp .env.example .env
docker compose up -d

After running, you can access the Dify dashboard in your browser at http://localhost/install and start the initialization process.

Seeking help

Please refer to our FAQ if you encounter problems setting up Dify. Reach out to the community and us if you are still having issues.

If you'd like to contribute to Dify or do additional development, refer to our guide to deploying from source code

Key features

1. Workflow: Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.

2. Comprehensive model support: Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found here.

providers-v5

3. Prompt IDE: Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app.

4. RAG Pipeline: Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats.

5. Agent capabilities: You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha.

6. LLMOps: Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.

7. Backend-as-a-Service: All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.

Using Dify

Staying ahead

Star Dify on GitHub and be instantly notified of new releases.

star

Advanced Setup

For custom configuration, observability, and deployment options, see Advanced Setup.

Contributing

Dify welcomes contributions of all kinds:

Contributors

Dify contributors

Community & contact

Choose the channel that best fits your question:

Star History

Star History Chart

Security disclosure

To protect your privacy, please avoid posting security issues on GitHub. Instead, report issues to [email protected], and our team will respond with detailed answer.

License

This repository is licensed under the Dify Open Source License, based on Apache 2.0 with additional conditions.

dify (langgenius/dify)

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158.7K ·GitHub
Dify
这是什么？Dify 是一个开源平台，用于构建大语言模型应用，包括 AI 工作流、RAG 流水线和智能体，并在一个协作工作区中提供模型管理和可观测性功能。
这是我要导入的代码库，还是需要运行的完整应用？它是一个完整的 Web 应用，带有可视化画布和仪表盘，并非代码库；你需要通过 Docker Compose 运行它的服务器，然后在界面中构建应用。
我该怎么让它跑起来？安装 Docker 和 Docker Compose v2.24.0+，然后用 Docker Compose 启动 Dify，并在浏览器中打开仪表盘完成初始化。
安装之前，机器的最低配置要求是什么？至少需要 2 核 CPU 和 4 GiB 内存，并且已安装 Docker 和 Docker Compose。
我必须自己部署吗，还是有托管服务可用？你可以自行部署社区版，也可以使用托管的 Dify Cloud 服务免配置试用；其中沙盒套餐包含 200 次免费 GPT-4 调用。企业版功能需要联系团队。
我可以接入哪些大语言模型提供商？Dify 可接入数十家提供商的数百种闭源和开源大语言模型，涵盖 GPT、Mistral、Llama3 以及任何兼容 OpenAI API 的模型，还支持自托管方案。
我可以把它部署在 VPS 或云 VPC 上吗？可以，Dify 可以部署在云端、VPC 或自托管环境中。
Dify 自带哪些内置智能体工具？Dify 为 AI 智能体提供 50 多种内置工具，例如 Google Search、DALL-E、Stable Diffusion 和 WolframAlpha，可与 Function Calling 或基于 ReAct 的智能体配合使用。
RAG 流水线开箱即用能做什么？它涵盖从文档导入到检索的全过程，并开箱即用地支持从 PDF、PPT 等常见文档格式中提取文本。
Prompt IDE 是做什么用的？它是一个用于编写提示词、对比不同大语言模型表现的界面，还可以为基于对话的应用添加文本转语音等功能。
我可以把 Dify 接入我自己的后端系统吗？可以，Dify 的每项功能都配有对应的 API，因此你可以把 Dify 直接集成到自己的业务逻辑中，作为后端服务使用。
What are similar projects?ruflo, bisheng, sim, FastGPT, easy-vibe, Awesome-Dify-Workflow, PocketFlow, brigade
Which topics is it in?agentic-framework, genai, agentic-workflow, low-code, no-code, llm-agents, vector-database, gpt, workflow, orchestration, nextjs, chatbot
Creator
langgenius
Size
604.7 MB
Stars
158.7K
Updated
CommitOct 17Release1.17.1Sep 10
Age
3y
Commits · 90 Days