|  |  | @@ -40,6 +40,7 @@ | 
		
	
		
			
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			|  |  |  | <p align="center"> | 
		
	
		
			
			|  |  |  | <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a> | 
		
	
		
			
			|  |  |  | <a href="./README_TW.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-d9d9d9"></a> | 
		
	
		
			
			|  |  |  | <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a> | 
		
	
		
			
			|  |  |  | <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a> | 
		
	
		
			
			|  |  |  | <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a> | 
		
	
	
		
			
			|  |  | @@ -53,14 +54,14 @@ | 
		
	
		
			
			|  |  |  | <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a> | 
		
	
		
			
			|  |  |  | </p> | 
		
	
		
			
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			|  |  |  | Dify is an open-source LLM app development platform. Its intuitive interface combines agentic AI workflow, RAG pipeline, 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. Its intuitive interface combines agentic AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. | 
		
	
		
			
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			|  |  |  | ## Quick start | 
		
	
		
			
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			|  |  |  | > Before installing Dify, make sure your machine meets the following minimum system requirements: | 
		
	
		
			
			|  |  |  | > | 
		
	
		
			
			|  |  |  | >- CPU >= 2 Core | 
		
	
		
			
			|  |  |  | >- RAM >= 4 GiB | 
		
	
		
			
			|  |  |  | > | 
		
	
		
			
			|  |  |  | > - CPU >= 2 Core | 
		
	
		
			
			|  |  |  | > - RAM >= 4 GiB | 
		
	
		
			
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			|  |  |  | </br> | 
		
	
		
			
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			|  |  | @@ -76,41 +77,40 @@ 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 process. | 
		
	
		
			
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			|  |  |  | #### Seeking help | 
		
	
		
			
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			|  |  |  | Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) if you encounter problems setting up Dify. Reach out to [the community and us](#community--contact) if you are still having issues. | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | > 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) | 
		
	
		
			
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			|  |  |  | ## Key features | 
		
	
		
			
			|  |  |  | **1. Workflow**: | 
		
	
		
			
			|  |  |  | Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond. | 
		
	
		
			
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			|  |  |  | https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa | 
		
	
		
			
			|  |  |  | **1. Workflow**: | 
		
	
		
			
			|  |  |  | Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond. | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa | 
		
	
		
			
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			|  |  |  | **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](https://docs.dify.ai/getting-started/readme/model-providers). | 
		
	
		
			
			|  |  |  | **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](https://docs.dify.ai/getting-started/readme/model-providers). | 
		
	
		
			
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			|  |  |  | **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. | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | **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. | 
		
	
		
			
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			|  |  |  | **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. | 
		
	
		
			
			|  |  |  | **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. | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | **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. | 
		
	
		
			
			|  |  |  | **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. | 
		
	
		
			
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			|  |  |  | **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. | 
		
	
		
			
			|  |  |  | **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. | 
		
	
		
			
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			|  |  |  | **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. | 
		
	
		
			
			|  |  |  | **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. | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | ## Feature Comparison | 
		
	
		
			
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			|  |  |  | <table style="width: 100%;"> | 
		
	
		
			
			|  |  |  | <tr> | 
		
	
		
			
			|  |  |  | <th align="center">Feature</th> | 
		
	
	
		
			
			|  |  | @@ -180,24 +180,22 @@ Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-host | 
		
	
		
			
			|  |  |  | ## Using Dify | 
		
	
		
			
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			|  |  |  | - **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. | 
		
	
		
			
			|  |  |  | 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. | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | - **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. | 
		
	
		
			
			|  |  |  | 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. [Log your questions for us through this chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br> | 
		
	
		
			
			|  |  |  | We provide additional enterprise-centric features. [Log your questions for us through this chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) 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. | 
		
	
		
			
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			|  |  |  | 
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			|  |  |  | ## Staying ahead | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | Star Dify on GitHub and be instantly notified of new releases. | 
		
	
		
			
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			|  |  |  | ## Advanced Setup | 
		
	
		
			
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			|  |  |  | If you need to customize the configuration, please refer to the comments in our [.env.example](docker/.env.example) file and update the corresponding values in your `.env` file. Additionally, you might need to make adjustments to the `docker-compose.yaml` file itself, such as changing image versions, port mappings, or volume mounts, based on your specific deployment environment and requirements. After making any changes, please re-run `docker-compose up -d`. You can find the full list of available environment variables [here](https://docs.dify.ai/getting-started/install-self-hosted/environments). | 
		
	
	
		
			
			|  |  | @@ -213,32 +211,34 @@ If you'd like to configure a highly-available setup, there are community-contrib | 
		
	
		
			
			|  |  |  | Deploy Dify to Cloud Platform with a single click using [terraform](https://www.terraform.io/) | 
		
	
		
			
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			|  |  |  | ##### Azure Global | 
		
	
		
			
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			|  |  |  | - [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform) | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | ##### Google Cloud | 
		
	
		
			
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			|  |  |  | - [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform) | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | #### Using AWS CDK for Deployment | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | Deploy Dify to AWS with [CDK](https://aws.amazon.com/cdk/) | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | ##### AWS | 
		
	
		
			
			|  |  |  | ##### AWS | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | - [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | ## Contributing | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). | 
		
	
		
			
			|  |  |  | 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. | 
		
	
		
			
			|  |  |  | 
 | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | > 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). | 
		
	
		
			
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			|  |  |  | ## Community & contact | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | * [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). | 
		
	
		
			
			|  |  |  | * [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community. | 
		
	
		
			
			|  |  |  | * [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community. | 
		
	
		
			
			|  |  |  | - [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). | 
		
	
		
			
			|  |  |  | - [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community. | 
		
	
		
			
			|  |  |  | - [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community. | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | **Contributors** | 
		
	
		
			
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			|  |  | @@ -250,7 +250,6 @@ At the same time, please consider supporting Dify by sharing it on social media | 
		
	
		
			
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			|  |  |  | [](https://star-history.com/#langgenius/dify&Date) | 
		
	
		
			
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			|  |  |  | ## Security disclosure | 
		
	
		
			
			|  |  |  | 
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			|  |  |  | To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to security@dify.ai and we will provide you with a more detailed answer. | 
		
	
	
		
			
			|  |  | @@ -258,4 +257,3 @@ To protect your privacy, please avoid posting security issues on GitHub. Instead | 
		
	
		
			
			|  |  |  | ## License | 
		
	
		
			
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			|  |  |  | This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions. | 
		
	
		
			
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