可视化UI定制LLM：简化了机器学习流程的开发和部署，让用户能够通过拖放操作设计自己的机器学习工作流程，提高开发效率

<!-- markdownlint-disable MD030 --> <img width="100%" src="https://github.com/FlowiseAI/Flowise/blob/main/images/flowise.png?raw=true"></a> # Flowise - Build LLM Apps Easily [](https://github.com/FlowiseAI/Flowise/releases) [](https://discord.gg/jbaHfsRVBW) [](https://twitter.com/FlowiseAI) [](https://star-history.com/#FlowiseAI/Flowise) [](https://github.com/FlowiseAI/Flowise/fork) English | [中文](./README-ZH.md) <h3>Drag & drop UI to build your customized LLM flow</h3> <a href="https://github.com/FlowiseAI/Flowise"> <img width="100%" src="https://github.com/FlowiseAI/Flowise/blob/main/images/flowise.gif?raw=true"></a> ## ⚡Quick Start Download and Install [NodeJS](https://nodejs.org/en/download) >= 18.15.0 1. Install Flowise ```bash npm install -g flowise ``` 2. Start Flowise ```bash npx flowise start ``` With username & password ```bash npx flowise start --FLOWISE_USERNAME=user --FLOWISE_PASSWORD=1234 ``` 3. Open [http://localhost:3000](http://localhost:3000) ## 🐳 Docker ### Docker Compose 1. Go to `docker` folder at the root of the project 2. Copy `.env.example` file, paste it into the same location, and rename to `.env` 3. `docker-compose up -d` 4. Open [http://localhost:3000](http://localhost:3000) 5. You can bring the containers down by `docker-compose stop` ### Docker Image 1. Build the image locally: ```bash docker build --no-cache -t flowise . ``` 2. Run image: ```bash docker run -d --name flowise -p 3000:3000 flowise ``` 3. Stop image: ```bash docker stop flowise ``` ## 👨‍💻 Developers Flowise has 3 different modules in a single mono repository. - `server`: Node backend to serve API logics - `ui`: React frontend - `components`: Langchain components ### Prerequisite - Install [Yarn v1](https://classic.yarnpkg.com/en/docs/install) ```bash npm i -g yarn ``` ### Setup 1. Clone the repository ```bash git clone https://github.com/FlowiseAI/Flowise.git ``` 2. Go into repository folder ```bash cd Flowise ``` 3. Install all dependencies of all modules: ```bash yarn install ``` 4. Build all the code: ```bash yarn build ``` 5. Start the app: ```bash yarn start ``` You can now access the app on [http://localhost:3000](http://localhost:3000) 6. For development build: - Create `.env` file and specify the `PORT` (refer to `.env.example`) in `packages/ui` - Create `.env` file and specify the `PORT` (refer to `.env.example`) in `packages/server` - Run ```bash yarn dev ``` Any code changes will reload the app automatically on [http://localhost:8080](http://localhost:8080) ## 🔒 Authentication To enable app level authentication, add `FLOWISE_USERNAME` and `FLOWISE_PASSWORD` to the `.env` file in `packages/server`: ``` FLOWISE_USERNAME=user FLOWISE_PASSWORD=1234 ``` ## 🌱 Env Variables Flowise support different environment variables to configure your instance. You can specify the following variables in the `.env` file inside `packages/server` folder. Read [more](https://github.com/FlowiseAI/Flowise/blob/main/CONTRIBUTING.md#-env-variables) ## 📖 Documentation [Flowise Docs](https://docs.flowiseai.com/) ## 🌐 Self Host ### [Railway](https://docs.flowiseai.com/deployment/railway) [](https://railway.app/template/pn4G8S?referralCode=WVNPD9) ### [Render](https://docs.flowiseai.com/deployment/render) [](https://docs.flowiseai.com/deployment/render) ### [Elestio](https://elest.io/open-source/flowiseai) [](https://elest.io/open-source/flowiseai) ### [HuggingFace Spaces](https://docs.flowiseai.com/deployment/hugging-face) <a href="https://huggingface.co/spaces/FlowiseAI/Flowise"><img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg" alt="HuggingFace Spaces"></a> ### [AWS](https://docs.flowiseai.com/deployment/aws) ### [Azure](https://docs.flowiseai.com/deployment/azure) ### [DigitalOcean](https://docs.flowiseai.com/deployment/digital-ocean) ### [GCP](https://docs.flowiseai.com/deployment/gcp) ## 💻 Cloud Hosted Coming soon ## 🙋 Support Feel free to ask any questions, raise problems, and request new features in [discussion](https://github.com/FlowiseAI/Flowise/discussions) ## 🙌 Contributing Thanks go to these awesome contributors <a href="https://github.com/FlowiseAI/Flowise/graphs/contributors"> <img src="https://contrib.rocks/image?repo=FlowiseAI/Flowise" /> </a> See [contributing guide](CONTRIBUTING.md). Reach out to us at [Discord](https://discord.gg/jbaHfsRVBW) if you have any questions or issues. [](https://star-history.com/#FlowiseAI/Flowise&Date) ## 📄 License Source code in this repository is made available under the [Apache License Version 2.0](LICENSE.md).