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README.md
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| **Dify** is an open-source LLM app development platform. Dify's intuitive interface combines a RAG pipeline, AI workflow orchestration, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. | **Dify** is an open-source LLM app development platform. Dify's intuitive interface combines a RAG pipeline, AI workflow orchestration, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. | ||||
|  | |||||
| https://github.com/langgenius/dify/assets/13230914/979e7a68-f067-4bbc-b38e-2deb2cc2bbb5 | |||||
| ## Using our Cloud Services | ## Using our Cloud Services | ||||
| You can try out [Dify.AI Cloud](https://dify.ai) now. It provides all the capabilities of the self-deployed version, and includes 200 free requests to OpenAI GPT-3.5. | |||||
| You can try out [Dify.AI Cloud](https://dify.ai) now. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls. | |||||
| ### Looking to purchase via AWS? | ### Looking to purchase via AWS? | ||||
| Check out [Dify Premium on AWS](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. | Check out [Dify Premium on AWS](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. | ||||
| ## Dify vs. LangChain vs. Assistants API | |||||
| | Feature | Dify.AI | Assistants API | LangChain | | |||||
| |---------|---------|----------------|-----------| | |||||
| | **Programming Approach** | API-oriented | API-oriented | Python Code-oriented | | |||||
| | **Ecosystem Strategy** | Open Source | Close Source | Open Source | | |||||
| | **RAG Engine** | Supported | Supported | Not Supported | | |||||
| | **Prompt IDE** | Included | Included | None | | |||||
| | **Supported LLMs** | Rich Variety | OpenAI-only | Rich Variety | | |||||
| | **Local Deployment** | Supported | Not Supported | Not Applicable | | |||||
| ## Features | ## Features | ||||
|  |  | ||||
| **1. Workflow**: Create and test complex AI workflows on a visual canvas, with pre-built nodes taking advantage of the power of all the following features and beyond. | **1. Workflow**: Create and test complex AI workflows on a visual canvas, with pre-built nodes taking advantage of the power of all the following features and beyond. | ||||
| **2. LLM Support**: Integration with OpenAI's GPT family of models, or the open-source Llama2 family models. In fact, Dify supports mainstream commercial models and open-source models (locally deployed or based on MaaS). | |||||
| **2. Support**: Seamless integration with hundreds of proprietary / open-source LLMs and dozens of inference providers, including GPT, Mistral, Llama2, and OpenAI API-compatible models. A full list of supported model providers is kept [here](https://docs.dify.ai/getting-started/readme/model-providers). | |||||
| **3. Prompt IDE**: Visual orchestration of applications and services based on LLMs with your team. | |||||
| **3. Prompt IDE**: Visual orchestration of applications and services based on any LLMs. Easily share with your team. | |||||
| **4. RAG Engine**: Includes various RAG capabilities based on full-text indexing or vector database embeddings, allowing direct upload of PDFs, TXTs, and other text formats. | **4. RAG Engine**: Includes various RAG capabilities based on full-text indexing or vector database embeddings, allowing direct upload of PDFs, TXTs, and other text formats. | ||||
| **5. AI Agent**: Based on Function Calling and ReAct, the Agent inference framework allows users to customize tools, what you see is what you get. Dify provides more than a dozen built-in tool calling capabilities, such as Google Search, DELL·E, Stable Diffusion, WolframAlpha, etc. | |||||
| **5. AI Agent**: Based on Function Calling and ReAct, the Agent inference framework allows users to customize tools, what you see is what you get. Dify provides more than a dozen built-in tools for AI agents, such as Google Search, DELL·E, Stable Diffusion, WolframAlpha, etc. | |||||
| **6. LLMOps**: Monitor and analyze application logs and performance, continuously improving Prompts, datasets, or models based on production data. | |||||
| ## Dify vs. LangChain vs. Assistants API | |||||
| | Feature | Dify.AI | Assistants API | LangChain | | |||||
| |---------|---------|----------------|-----------| | |||||
| | **Programming Approach** | API-oriented | API-oriented | Python Code-oriented | | |||||
| | **Ecosystem Strategy** | Open Source | Close Source | Open Source | | |||||
| | **RAG Engine** | Supported | Supported | Not Supported | | |||||
| | **Prompt IDE** | Included | Included | None | | |||||
| | **Supported LLMs** | Rich Variety | OpenAI-only | Rich Variety | | |||||
| | **Local Deployment** | Supported | Not Supported | Not Applicable | | |||||
| **5. Continuous Operations**: Monitor and analyze application logs and performance, continuously improving Prompts, datasets, or models using production data. | |||||
| ## Before You Start | ## Before You Start | ||||
| **Star us on GitHub, and be instantly notified for new releases!** | **Star us on GitHub, and be instantly notified for new releases!** | ||||
|  |  | ||||
| - [Website](https://dify.ai) | - [Website](https://dify.ai) | ||||
| - [Docs](https://docs.dify.ai) | - [Docs](https://docs.dify.ai) | ||||
| - [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted) | - [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted) |
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