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245 lines
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Markdown
245 lines
12 KiB
Markdown
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<p align="center">
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<a href="https://cloud.dify.ai">Dify Cloud</a> ·
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<a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
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<a href="https://docs.dify.ai">Documentation</a> ·
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<a href="https://cal.com/guchenhe/60-min-meeting">Enterprise inquiry</a>
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</p>
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<p align="center">
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<a href="https://dify.ai" target="_blank">
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<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
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<a href="https://dify.ai/pricing" target="_blank">
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<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
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<a href="https://discord.gg/FngNHpbcY7" target="_blank">
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<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
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alt="chat on Discord"></a>
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<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
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<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
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alt="follow on Twitter"></a>
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<a href="https://hub.docker.com/u/langgenius" target="_blank">
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<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
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<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
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<img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
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<a href="https://github.com/langgenius/dify/" target="_blank">
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<img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
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<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
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<img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
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</p>
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<p align="center">
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<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
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<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>
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<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
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<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
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<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
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<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
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<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
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<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
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</p>
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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 and more, letting you quickly go from prototype to production. Here's a list of the core features:
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</br> </br>
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**1. Workflow**:
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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**:
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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**:
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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**:
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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**:
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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.
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**6. LLMOps**:
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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**:
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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%;">
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<tr>
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<th align="center">Feature</th>
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<th align="center">Dify.AI</th>
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<th align="center">LangChain</th>
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<th align="center">Flowise</th>
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<th align="center">OpenAI Assistants API</th>
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</tr>
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<tr>
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<td align="center">Programming Approach</td>
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<td align="center">API + App-oriented</td>
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<td align="center">Python Code</td>
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<td align="center">App-oriented</td>
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<td align="center">API-oriented</td>
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</tr>
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<tr>
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<td align="center">Supported LLMs</td>
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<td align="center">Rich Variety</td>
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<td align="center">Rich Variety</td>
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<td align="center">Rich Variety</td>
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<td align="center">OpenAI-only</td>
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</tr>
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<tr>
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<td align="center">RAG Engine</td>
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<td align="center">✅</td>
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<td align="center">✅</td>
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<td align="center">✅</td>
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<td align="center">✅</td>
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</tr>
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<tr>
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<td align="center">Agent</td>
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<td align="center">✅</td>
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<td align="center">✅</td>
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<td align="center">❌</td>
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<td align="center">✅</td>
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</tr>
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<tr>
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<td align="center">Workflow</td>
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<td align="center">✅</td>
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<td align="center">❌</td>
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<td align="center">✅</td>
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<td align="center">❌</td>
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</tr>
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<tr>
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<td align="center">Observability</td>
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<td align="center">✅</td>
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<td align="center">✅</td>
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<td align="center">❌</td>
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<td align="center">❌</td>
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</tr>
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<tr>
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<td align="center">Enterprise Features (SSO/Access control)</td>
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<td align="center">✅</td>
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<td align="center">❌</td>
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<td align="center">❌</td>
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<td align="center">❌</td>
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</tr>
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<tr>
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<td align="center">Local Deployment</td>
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<td align="center">✅</td>
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<td align="center">✅</td>
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<td align="center">✅</td>
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<td align="center">❌</td>
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</tr>
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</table>
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## Using Dify
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- **Cloud </br>**
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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>**
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Quickly get Dify running in your environment with this [starter guide](#quick-start).
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Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.
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- **Dify for enterprise / organizations</br>**
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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>
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> 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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## Staying ahead
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Star Dify on GitHub and be instantly notified of new releases.
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## Quick start
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> Before installing Dify, make sure your machine meets the following minimum system requirements:
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>
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>- CPU >= 2 Core
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>- RAM >= 4GB
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</br>
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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:
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```bash
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cd docker
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docker compose up -d
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```
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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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> 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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## Next steps
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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).
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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.
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- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
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- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
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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).
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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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**Contributors**
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<a href="https://github.com/langgenius/dify/graphs/contributors">
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<img src="https://contrib.rocks/image?repo=langgenius/dify" />
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</a>
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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.
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* [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).
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* [Email](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). Best for: questions you have about using Dify.AI.
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* [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
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* [Twitter](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
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Or, schedule a meeting directly with a team member:
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<table>
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<tr>
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<th>Point of Contact</th>
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<th>Purpose</th>
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</tr>
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<tr>
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<td><a href='https://cal.com/guchenhe/15min' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/9ebcd111-1205-4d71-83d5-948d70b809f5' alt='Git-Hub-README-Button-3x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
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<td>Business enquiries & product feedback</td>
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</tr>
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<tr>
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<td><a href='https://cal.com/pinkbanana' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/d1edd00a-d7e4-4513-be6c-e57038e143fd' alt='Git-Hub-README-Button-2x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
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<td>Contributions, issues & feature requests</td>
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</tr>
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</table>
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## Star history
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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.
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## 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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