|
@@ -1,96 +1,168 @@
|
|
|
-[](https://dify.ai)
|
|
|
+
|
|
|
+
|
|
|
<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">
|
|
|
- <img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></a>
|
|
|
+ <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
|
|
|
+ <a href="https://dify.ai/pricing" target="_blank">
|
|
|
+ <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
|
|
|
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
|
|
- <img src="https://img.shields.io/discord/1082486657678311454?logo=discord"
|
|
|
+ <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
|
|
alt="chat on Discord"></a>
|
|
|
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
|
|
- <img src="https://img.shields.io/twitter/follow/dify_ai?style=social&logo=X"
|
|
|
+ <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
|
|
alt="follow on Twitter"></a>
|
|
|
<a href="https://hub.docker.com/u/langgenius" target="_blank">
|
|
|
- <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></a>
|
|
|
+ <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
|
|
|
+ <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
|
|
|
+ <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
|
|
|
+ <a href="https://github.com/langgenius/dify/" target="_blank">
|
|
|
+ <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>
|
|
|
+ <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
|
|
|
+ <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
|
|
|
</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>
|
|
|
+ <a href="./README_JA.md"><img alt="Commits last month" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
|
|
|
+ <a href="./README_ES.md"><img alt="Commits last month" src="https://img.shields.io/badge/Español-d9d9d9"></a>
|
|
|
+ <a href="./README_KL.md"><img alt="Commits last month" src="https://img.shields.io/badge/Français-d9d9d9"></a>
|
|
|
+ <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
|
|
|
-
|
|
|
-
|
|
|
-
|
|
|
-**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!**
|
|
|
-
|
|
|
-- [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.
|
|
|
+
|
|
|
+
|
|
|
+[](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).
|
|
|
+
|
|
|
+
|
|
|
+
|
|
|
+
|
|
|
+**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.
|
|
|
+
|
|
|
+
|
|
|
+
|
|
|
+
|
|
|
+## 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
|
|
|
-
|
|
|
-[](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
|
|
|
+
|
|
|
+[](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
|
|
|
|