1年前 · 8cefa6b82e
--- a/README.md
+++ b/README.md
@@ -1,96 +1,168 @@
 [![](./images/GitHub_README_cover.png)](https://dify.ai)
 ![cover-v5-3](https://github.com/langgenius/dify/assets/13230914/e542f5da-57e3-4d99-80c1-c7697468d111)

 <p align="center">
  <a href="./README.md">English</a> |
  <a href="./README_CN.md">简体中文</a> |
  <a href="./README_JA.md">日本語</a> |
  <a href="./README_ES.md">Español</a> |
  <a href="./README_KL.md">Klingon</a> |
  <a href="./README_FR.md">Français</a>
  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
  <a href="https://docs.dify.ai">Documentation</a> ·
  <a href="https://cal.com/guchenhe/30min">Commercial inquiry</a>
 </p>

 <p align="center">
    <a href="https://dify.ai" target="_blank">
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 </p>

 <p align="center">
   <a href="https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6" target="_blank">
   📌 Check out Dify Premium on AWS and deploy it to your own AWS VPC with one-click.
  </a>
  <a href="./README.md"><img alt="Commits last month" src="https://img.shields.io/badge/English-d9d9d9"></a>
  <a href="./README_CN.md"><img alt="Commits last month" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
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  <a href="./README_FR.md"><img alt="Commits last month" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
 </p>

 **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 Dify Cloud

 You can try out [Dify Cloud](https://dify.ai) now. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls.

 ## Dify for Enterprise / Organizations

 [Schedule a meeting with us](#Direct-Meetings) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. 

 For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. It's an affordable AMI offering with the option to create apps with custom logo and branding.

 ## 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. Extensive LLM 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 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 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 |


 ## 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)
 - [FAQ](https://docs.dify.ai/getting-started/faq) 


 ## Install the Community Edition

 ### System Requirements

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

 - CPU >= 2 Core
 - RAM >= 4GB

 ### Quick Start
 #
 Dify is an open-source LLM app development platform. Its intuitive interface combines RAG pipeline, AI workflow, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.


 [![](./images/models.png)](https://github.com/langgenius/dify/assets/13230914/979e7a68-f067-4bbc-b38e-2deb2cc2bbb5)

 **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, Llama2, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers).

 ![providers-2](https://github.com/langgenius/dify/assets/13230914/dc6e615c-9c3b-482f-a405-eea64555c83f)


 **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, DELL·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.


 ## Feature Comparison
 <table style="width: 100%;">
  <tr>
    <th align="center">Feature</th>
    <th align="center">Dify.AI</th>
    <th align="center">LangChain</th>
    <th align="center">Flowise</th>
    <th align="center">OpenAI Assistants API</th>
  </tr>
  <tr>
    <td align="center">Programming Approach</td>
    <td align="center">API + App-oriented</td>
    <td align="center">Python Code</td>
    <td align="center">App-oriented</td>
    <td align="center">API-oriented</td>
  </tr>
  <tr>
    <td align="center">Supported LLMs</td>
    <td align="center">Rich Variety</td>
    <td align="center">Rich Variety</td>
    <td align="center">Rich Variety</td>
    <td align="center">OpenAI-only</td>
  </tr>
  <tr>
    <td align="center">RAG Engine</td>
    <td align="center">✅</td>
    <td align="center">✅</td>
    <td align="center">✅</td>
    <td align="center">✅</td>
  </tr>
  <tr>
    <td align="center">Agent</td>
    <td align="center">✅</td>
    <td align="center">✅</td>
    <td align="center">✅</td>
    <td align="center">✅</td>
  </tr>
  <tr>
    <td align="center">Workflow</td>
    <td align="center">✅</td>
    <td align="center">❌</td>
    <td align="center">✅</td>
    <td align="center">❌</td>
  </tr>
  <tr>
    <td align="center">Observability</td>
    <td align="center">✅</td>
    <td align="center">✅</td>
    <td align="center">❌</td>
    <td align="center">❌</td>
  </tr>
  <tr>
    <td align="center">Enterprise Feature (SSO/Access control)</td>
    <td align="center">✅</td>
    <td align="center">❌</td>
    <td align="center">❌</td>
    <td align="center">❌</td>
  </tr>
  <tr>
    <td align="center">Local Deployment</td>
    <td align="center">✅</td>
    <td align="center">✅</td>
    <td align="center">✅</td>
    <td align="center">❌</td>
  </tr>
 </table>

 ## Using Dify

 - **Cloud </br>**
 We host a [Dify Cloud](https://dify.ai) service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan.

 - **Self-hosting Dify Community Edition</br>**
 Quickly get Dify running in your environment with this [starter guide](#quick-start).
 Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.

 - **Dify for Enterprise / Organizations</br>**
 We provide additional enterprise-centric features. [Schedule a meeting with us](https://cal.com/guchenhe/30min) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br>
  > For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. It's an affordable AMI offering with the option to create apps with custom logo and branding.


 ## Staying ahead

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

 ![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)


 ## Quick Start
 > Before installing Dify, make sure your machine meets the following minimum system requirements:
 > 
 >- CPU >= 2 Core
 >- RAM >= 4GB

 </br>

 The easiest way to start the Dify server is to run our [docker-compose.yml](docker/docker-compose.yaml) file. Before running the installation command, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:

@@ -99,58 +171,63 @@ cd docker
 docker compose up -d
 ```

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

 #### Deploy with Helm Chart
 > If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)

 [Helm Chart](https://helm.sh/) version, which allows Dify to be deployed on Kubernetes.
 ## Next steps

 - [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
 - [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)

 ### Configuration
 If you need to customize the configuration, please refer to the comments in our [docker-compose.yml](docker/docker-compose.yaml) file and manually set the environment configuration. After making the changes, please run `docker-compose up -d` again. You can see the full list of environment variables [here](https://docs.dify.ai/getting-started/install-self-hosted/environments).

 If you need to customize the configuration, please refer to the comments in our [docker-compose.yml](docker/docker-compose.yaml) file and manually set the environment configuration. After making the changes, please run `docker-compose up -d` again. You can see the full list of environment variables in our [docs](https://docs.dify.ai/getting-started/install-self-hosted/environments).
 If you'd like to configure a highly-available setup, there are community-contributed [Helm Charts](https://helm.sh/) which allow Dify to be deployed on Kubernetes.

 - [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
 - [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)

 ## Star History

 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)

 ## Contributing

 For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 

 At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.

 ### Projects made by community

 - [Chatbot Chrome Extension by @charli117](https://github.com/langgenius/chatbot-chrome-extension)
 > We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).

 ### Contributors
 **Contributors**

 <a href="https://github.com/langgenius/dify/graphs/contributors">
  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
 </a>

 ### Translations

 We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).

 ## Community & Support
 ## Community & Contact

 * [Github Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
 * [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
 * [Email Support](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify). Best for: questions you have about using Dify.AI.
 * [Email](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). Best for: questions you have about using Dify.AI.
 * [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
 * [Twitter](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.

 ### Direct Meetings
 Or, schedule a meeting directly with a team member:

 <table>
  <tr>
    <th>Point of Contact</th>
    <th>Purpose</th>
  </tr>
  <tr>
    <td><a href='https://cal.com/guchenhe/15min' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/7630336c-eb2d-4ec4-88b7-de1f95cbcdd0' alt='Git-Hub-README-Button-3x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
    <td>Business enquiries & product feedback</td>
  </tr>
  <tr>
    <td><a href='https://cal.com/pinkbanana' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/f6420840-b0fc-46df-ad8c-7dae076cf7f4' alt='Git-Hub-README-Button-2x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
    <td>Contributions, issues & feature requests</td>
  </tr>
 </table>

 ## Star History

 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)

 |                       Point of Contact                       |                           Purpose                            |
 | :----------------------------------------------------------: | :----------------------------------------------------------: |
 | <a href='https://cal.com/guchenhe/15min' target='_blank'><img src='https://i.postimg.cc/fWBqSmjP/Git-Hub-README-Button-3x.png' border='0' alt='Git-Hub-README-Button-3x' height="60" width="214"/></a> | Business enquiries & product feedback. |
 | <a href='https://cal.com/pinkbanana' target='_blank'><img src='https://i.postimg.cc/LsRTh87D/Git-Hub-README-Button-2x.png' border='0' alt='Git-Hub-README-Button-2x' height="60" width="225"/></a> | Contributions, issues & feature requests |

 ## Security Disclosure