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AIclinicalresearch/docs/07-运维文档
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
..

运维文档

文档定位: 系统运维、监控、故障排查
适用范围: 运维团队、SRE团队


📋 运维文档清单

文档 说明 状态
01-环境配置指南.md 环境变量、数据库连接、API密钥配置 已完成
02-环境变量配置模板.md .env配置模板含CloseAI配置 已完成
03-监控告警.md 监控指标、告警规则 待创建
04-故障排查.md 常见问题排查手册 待创建
05-备份恢复.md 数据备份和恢复策略 待创建

🎯 核心运维任务

1. 监控

  • 系统健康检查
  • 性能监控
  • 告警通知

2. 日志

  • 日志收集
  • 日志分析
  • 日志归档

3. 备份

  • 数据库备份
  • 文件备份
  • 恢复演练

4. 故障处理

  • 故障诊断
  • 应急预案
  • 事后总结

最后更新: 2025-11-06
维护人: 技术架构师