101 lines
2.2 KiB
Markdown
101 lines
2.2 KiB
Markdown
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# 本地 AI 服务部署指南（Dify + RAGFlow）
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> 更新日期：2026-07-06
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## 系统要求
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| 服务 | 最低内存 | 推荐内存 |
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|------|----------|----------|
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| Dify (CPU) | 8GB | 16GB |
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| RAGFlow (CPU) | 8GB | 16GB |
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| 两者同时 | 16GB | 32GB |
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**当前可用内存：约 7.4GB**
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---
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## 方案一：仅部署 Dify（推荐）
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### 步骤1：停止本地不需要的容器
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```powershell
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# 停止开发环境（如果不需要）
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docker stop dev_wecom_backend dev_wecom_postgres dev_wecom_redis
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```
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### 步骤2：部署 Dify (CPU版)
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```powershell
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cd D:\资料\03-项目开发\wecom_it_smart_desk
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mkdir dify && cd dify
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# 下载 Docker Compose
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curl -o docker-compose.yml https://github.com/langgenius/dify/raw/main/docker/docker-compose.middleware.yaml
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# 启动
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docker compose up -d
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```
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### 步骤3：访问
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- Web UI: http://localhost:8080
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- API: http://localhost:8081
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- 默认管理员: admin@dify.local / admin
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---
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## 方案二：仅部署 RAGFlow（CPU版）
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### 步骤1：停止本地不需要的容器
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```powershell
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docker stop dev_wecom_backend dev_wecom_postgres dev_wecom_redis
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```
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### 步骤2：部署 RAGFlow
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```powershell
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cd D:\资料\03-项目开发\wecom_it_smart_desk
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mkdir ragflow && cd ragflow
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# 下载配置
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curl -o docker-compose.yml https://raw.githubusercontent.com/infiniflow/ragflow/main/docker/docker-compose.yml
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curl -o .env https://raw.githubusercontent.com/infiniflow/ragflow/main/docker/.env
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# 启动（使用 CPU profile）
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docker compose --profile cpu up -d
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```
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### 步骤3：访问
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- Web UI: http://localhost:9380
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- API: http://localhost:9380/api
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- 默认管理员: root / infiniflow
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---
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## 方案三：同时部署（需要16GB+内存）
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1. 先停止开发容器
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2. 部署 Dify（会占用约 4-6GB）
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3. 等待稳定后部署 RAGFlow（会占用约 4-6GB）
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---
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## 生产环境已配置
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| 服务 | 地址 | 用途 |
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|------|------|------|
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| Dify 生产 | http://yw-dify.dc.servyou-it.com/ | AI 对话、工作流 |
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| RAGFlow 生产 | http://10.80.0.85:8080/ | 知识库管理 |
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---
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## 本地配置后端连接
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修改 `backend/.env.dev`：
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```bash
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# Dify
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DIFY_BASE_URL=http://localhost:8081
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DIFY_API_KEY=your-api-key
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# RAGFlow
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RAGFLOW_BASE_URL=http://localhost:9380
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RAGFLOW_API_KEY=your-api-key
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```
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