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Refined README for better reading experience. (#10143)
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Zixuan Cheng
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README.md
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README.md
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@ -46,6 +46,56 @@
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</p>
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## Table of Content
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0. [Quick-Start🚀](https://github.com/langgenius/dify?tab=readme-ov-file#quick-start)
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1. [Intro📖](https://github.com/langgenius/dify?tab=readme-ov-file#intro)
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2. [How to use🔧](https://github.com/langgenius/dify?tab=readme-ov-file#using-dify)
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3. [Stay Ahead🏃](https://github.com/langgenius/dify?tab=readme-ov-file#staying-ahead)
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4. [Next Steps🏹](https://github.com/langgenius/dify?tab=readme-ov-file#next-steps)
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5. [Contributing💪](https://github.com/langgenius/dify?tab=readme-ov-file#contributing)
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6. [Community and Contact🏠](https://github.com/langgenius/dify?tab=readme-ov-file#community--contact)
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7. [Star-History📈](https://github.com/langgenius/dify?tab=readme-ov-file#star-history)
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8. [Security🔒](https://github.com/langgenius/dify?tab=readme-ov-file#security-disclosure)
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9. [License🤝](https://github.com/langgenius/dify?tab=readme-ov-file#license)
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> Make sure you read through this README before you start utilizing Dify😊
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## Quick start
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The quickest way to deploy Dify locally is to run our [docker-compose.yml](https://github.com/langgenius/dify/blob/main/docker/docker-compose.yaml). Follow the instructions to start in 5 minutes.
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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 >= 4 GiB
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>- Docker and Docker Compose Installed
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</br>
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Run the following command in your terminal to clone the whole repo.
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```bash
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git clone https://github.com/langgenius/dify.git
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```
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After cloning,run the following command one by one.
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```bash
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cd dify
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cd docker
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cp .env.example .env
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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. You will be asked to setup an admin account.
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For more info of quick setup, check [here](https://docs.dify.ai/getting-started/install-self-hosted/docker-compose)
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## Intro
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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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@ -79,73 +129,6 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
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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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@ -166,30 +149,21 @@ 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 >= 4 GiB
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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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cp .env.example .env
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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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Go to [quick-start](https://github.com/langgenius/dify?tab=readme-ov-file#quick-start) to setup your Dify or setup by source code.
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#### If you......
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If you forget your admin account, you can refer to this [guide](https://docs.dify.ai/getting-started/install-self-hosted/faqs#id-4.-how-to-reset-the-password-of-the-admin-account) to reset the password.
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> Use docker compose up without "-d" to enable logs printing out in your terminal. This might be useful if you have encountered unknow problems when using Dify.
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If you encountered system error and would like to acquire help in Github issues, make sure you always paste logs of the error in the request to accerate the conversation. Go to [Community & contact](https://github.com/langgenius/dify?tab=readme-ov-file#community--contact) for more information.
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> Please read the [Dify Documentation](https://docs.dify.ai/) for detailed how-to-use guidance. Most of the potential problems are explained in the doc.
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> If you'd like to contribute to Dify or make 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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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).
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If you'd like to configure a highly-available setup, there are community-contributed [Helm Charts](https://helm.sh/) and YAML files which allow Dify to be deployed on Kubernetes.
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@ -228,6 +202,7 @@ At the same time, please consider supporting Dify by sharing it on social media
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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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* [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
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* [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
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* Make sure a log, if possible, is attached to an error reported to maximize solution efficiency.
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## Star history
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