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forked from labring/FastGPT

FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

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FastGPT

FastGPT 是一个 AI Agent 构建平台,提供开箱即用的数据处理、模型调用等能力,同时可以通过 Flow 可视化进行工作流编排,从而实现复杂的应用场景!

详情可查看 简体中文

1. 本地快速开始

1.1 快速启动后端服务

  • 修改 ./docker/dev-server.sh 文件的内容
FE_DOMAIN=http://{修改为你的电脑IP地址}:8802
  • 修改 docker-compose.yml 的内容

使用 fastgpt 官网的镜像:ghcr.io/labring/fastgpt:v4.9.6

# 根目录下 - 启动后端服务
chmod +x ./docker/dev-server.sh

./docker/dev-server.sh

1.2 直接连接已存在的后端服务

如果已经有存在的后端服务,比如【测试服后端】,则修改 .env.local 文件的内容,主要需要修改 API_KEY 和数据库的地址与端口以及数据库账号的用户名和密码

1.3 快速启动前端服务

# 根目录下 - 安装依赖
pnpm i

# 启动本地服务
cd projects/app
pnpm dev

2. 部署打包

2.1 本地环境部署打包

如果想在本地环境

# 根目录下 - 构建前端镜像
chmod +x ./docker/deploy.sh

./docker/deploy.sh

2.2 生成环境部署打包

  • 确保 docker-compose.yml 的内容 fastgpt 的镜像应为:sinobest-fastgpt/fastgpt:xxx,其中 xxx 为版本号
```bash
# 根目录下 - 构建前端镜像
chmod +x ./docker/deploy.sh

./docker/deploy.sh 

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FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

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