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
每周计划与进度跟踪
用途: 记录每周的工作计划、进度和总结
更新频率: 每周五下午更新
📋 使用说明
每周五下午做什么?
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回顾本周
- 完成了哪些任务?
- 遇到了什么问题?
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记录进度
- 更新任务完成状态
- 记录关键决策
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规划下周
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- 需要哪些资源?
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📊 进度报告列表
| 周次 | 时间范围 | 核心任务 | 完成度 | 报告链接 |
|---|---|---|---|---|
| W45 | 2025-11-04 至 11-10 | 文档重构 | 100% | 查看报告 |
| W46 | 2025-11-11 至 11-17 | 代码重构+LLM网关 | 0% | 📋 待创建 |
| W47 | 2025-11-18 至 11-24 | ASL标题摘要初筛 | 0% | 📋 待创建 |
维护者: 项目管理组
最后更新: 2025-11-07