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Update README.md (#3206)

Chenhe Gu 1 year ago
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      README.md

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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.
 
-![](./images/demo.png)
-
+https://github.com/langgenius/dify/assets/13230914/979e7a68-f067-4bbc-b38e-2deb2cc2bbb5
 
 
 ## 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?
 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
 
 ![](./images/models.png)
+
 **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.
 
-**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
 
 **Star us on GitHub, and be instantly notified for new releases!**
-
 ![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
-
 - [Website](https://dify.ai)
 - [Docs](https://docs.dify.ai)
 - [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted)