Files
AIclinicalresearch/backend/RESTART_SERVER_NOW.md
HaHafeng dfc0fe0b9a feat(pkb): Integrate pgvector and create Dify replacement plan
Summary:
- Migrate PostgreSQL to pgvector/pgvector:pg15 Docker image
- Successfully install and verify pgvector 0.8.1 extension
- Create comprehensive Dify-to-pgvector migration plan
- Update PKB module documentation with pgvector status
- Update system documentation with pgvector integration

Key changes:
- docker-compose.yml: Switch to pgvector/pgvector:pg15 image
- Add EkbDocument and EkbChunk data model design
- Design R-C-R-G hybrid retrieval architecture
- Add clinical data JSONB fields (pico, studyDesign, regimen, safety, criteria, endpoints)
- Create detailed 10-day implementation roadmap

Documentation updates:
- PKB module status: pgvector RAG infrastructure ready
- System status: pgvector 0.8.1 integrated
- New: Dify replacement development plan (01-Dify替换为pgvector开发计划.md)
- New: Enterprise medical knowledge base solution V2

Tested: PostgreSQL with pgvector verified, frontend and backend functionality confirmed
2026-01-20 00:00:58 +08:00

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# ⚠️ 重要:需要重启服务器
## 修改内容
- ✅ 添加XML格式支持
- ✅ 更新消息处理逻辑
- ✅ 添加XML内容解析器
## 重启步骤
1. **停止当前服务器**
```
按 Ctrl+C在运行服务器的终端中
```
2. **重新启动服务器**
```powershell
cd D:\MyCursor\AIclinicalresearch\backend
npm run dev
```
3. **确认日志**
应该看到:
```
✅ 微信服务号回调控制器已初始化(明文模式)
Registered route: GET /wechat/patient/callback-plain (明文模式)
Registered route: POST /wechat/patient/callback-plain (明文模式, XML)
```
## 微信公众平台配置
| 配置项 | 值 |
|--------|-----|
| **URL** | `https://devlocal.xunzhengyixue.com/wechat/patient/callback-plain` |
| **Token** | `IitPatientWechat2026JanToken` |
| **消息加解密方式** | **明文模式** |
| **数据格式** | **XML** ⚠️ 必须选择XML |
---
**重启服务器后,即可在微信公众平台提交配置!**