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Henry
81 lines
2.1 KiB
Markdown
81 lines
2.1 KiB
Markdown
<!-- markdownlint-disable MD030 -->
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# Flowise - 低代码 LLM 应用程序构建器
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[English](./README.md) | 中文
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拖放界面来构建自定义的 LLM 流程
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## ⚡ 快速入门
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1. 安装 Flowise
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```bash
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npm install -g flowise
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```
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2. 启动 Flowise
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```bash
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npx flowise start
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```
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3. 打开[http://localhost:3000](http://localhost:3000)
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## 🔒 身份验证
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要启用应用级身份验证，请将`FLOWISE_USERNAME`和`FLOWISE_PASSWORD`添加到`.env`文件中：
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```
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FLOWISE_USERNAME=user
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FLOWISE_PASSWORD=1234
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```
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## 🌱 环境变量
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Flowise 支持不同的环境变量来配置您的实例。您可以在`packages/server`文件夹中的`.env`文件中指定以下变量。阅读[更多](https://docs.flowiseai.com/environment-variables)
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您还可以在使用`npx`时指定环境变量。例如：
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```
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npx flowise start --PORT=3000 --DEBUG=true
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```
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## 📖 文档
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[Flowise 文档](https://docs.flowiseai.com/)
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## 🌐 自托管
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### [Railway](https://docs.flowiseai.com/deployment/railway)
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[](https://railway.app/template/YK7J0v)
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### [Render](https://docs.flowiseai.com/deployment/render)
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[](https://docs.flowiseai.com/deployment/render)
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### [AWS](https://docs.flowiseai.com/deployment/aws)
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### [Azure](https://docs.flowiseai.com/deployment/azure)
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### [DigitalOcean](https://docs.flowiseai.com/deployment/digital-ocean)
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### [GCP](https://docs.flowiseai.com/deployment/gcp)
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## 💻 云托管
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即将推出
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## 🙋 支持
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在[讨论区](https://github.com/FlowiseAI/Flowise/discussions)中随时提出任何问题、报告问题和请求新功能。
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## 🙌 贡献
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请参阅[贡献指南](https://github.com/FlowiseAI/Flowise/blob/master/CONTRIBUTING.md)。如果您有任何问题或问题，请在[Discord](https://discord.gg/jbaHfsRVBW)上与我们联系。
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## 📄 许可证
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本仓库中的源代码在[Apache License Version 2.0 许可证](https://github.com/FlowiseAI/Flowise/blob/master/LICENSE.md)下提供。
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