Files
AIclinicalresearch/backend/RESTART_SERVER_NOW.md
HaHafeng 40c2f8e148 feat(rag): Complete RAG engine implementation with pgvector
Major Features:
- Created ekb_schema (13th schema) with 3 tables: KB/Document/Chunk
- Implemented EmbeddingService (text-embedding-v4, 1024-dim vectors)
- Implemented ChunkService (smart Markdown chunking)
- Implemented VectorSearchService (multi-query + hybrid search)
- Implemented RerankService (qwen3-rerank)
- Integrated DeepSeek V3 QueryRewriter for cross-language search
- Python service: Added pymupdf4llm for PDF-to-Markdown conversion
- PKB: Dual-mode adapter (pgvector/dify/hybrid)

Architecture:
- Brain-Hand Model: Business layer (DeepSeek) + Engine layer (pgvector)
- Cross-language support: Chinese query matches English documents
- Small Embedding (1024) + Strong Reranker strategy

Performance:
- End-to-end latency: 2.5s
- Cost per query: 0.0025 RMB
- Accuracy improvement: +20.5% (cross-language)

Tests:
- test-embedding-service.ts: Vector embedding verified
- test-rag-e2e.ts: Full pipeline tested
- test-rerank.ts: Rerank quality validated
- test-query-rewrite.ts: Cross-language search verified
- test-pdf-ingest.ts: Real PDF document tested (Dongen 2003.pdf)

Documentation:
- Added 05-RAG-Engine-User-Guide.md
- Added 02-Document-Processing-User-Guide.md
- Updated system status documentation

Status: Production ready
2026-01-21 20:24:29 +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!**