HaHafeng
8eef9e0544
Features: - Backend statistics API (cloud-native Prisma aggregation) - Results page with hybrid solution (AI consensus + human final decision) - Excel export (frontend generation, zero disk write, cloud-native) - PRISMA-style exclusion reason analysis with bar chart - Batch selection and export (3 export methods) - Fixed logic contradiction (inclusion does not show exclusion reason) - Optimized table width (870px, no horizontal scroll) Components: - Backend: screeningController.ts - add getProjectStatistics API - Frontend: ScreeningResults.tsx - complete results page (hybrid solution) - Frontend: excelExport.ts - Excel export utility (40 columns full info) - Frontend: ScreeningWorkbench.tsx - add navigation button - Utils: get-test-projects.mjs - quick test tool Architecture: - Cloud-native: backend aggregation reduces network transfer - Cloud-native: frontend Excel generation (zero file persistence) - Reuse platform: global prisma instance, logger - Performance: statistics API < 500ms, Excel export < 3s (1000 records) Documentation: - Update module status guide (add Week 4 features) - Update task breakdown (mark Week 4 completed) - Update API design spec (add statistics API) - Update database design (add field usage notes) - Create Week 4 development plan - Create Week 4 completion report - Create technical debt list Test: - End-to-end flow test passed - All features verified - Performance test passed - Cloud-native compliance verified Ref: Week 4 Development Plan Scope: ASL Module MVP - Title Abstract Screening Results Cloud-Native: Backend aggregation + Frontend Excel generation
112 lines
1.8 KiB
Markdown
112 lines
1.8 KiB
Markdown
# RAG引擎
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> **能力定位：** 通用能力层
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> **复用率：** 43% (3个模块依赖)
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> **优先级：** P1
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> **状态：** ✅ 已实现（基于Dify）
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---
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## 📋 能力概述
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RAG引擎负责：
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- 向量化存储（Embedding）
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- 语义检索（Semantic Search）
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- 检索增强生成（RAG）
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- Rerank重排序
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---
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## 📊 依赖模块
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**3个模块依赖（43%复用率）：**
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1. **AIA** - AI智能问答（@知识库问答）
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2. **ASL** - AI智能文献（文献内容检索）
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3. **PKB** - 个人知识库（RAG问答）
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---
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## 💡 核心功能
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### 1. 向量化存储
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- 基于Dify平台
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- Qdrant向量数据库（Dify内置）
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### 2. 语义检索
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- Top-K检索
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- 相关度评分
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- 多知识库联合检索
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### 3. RAG问答
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- 检索 + 生成
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- 智能引用系统（100%准确溯源）
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---
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## 🏗️ 技术架构
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**基于Dify平台：**
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```typescript
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// DifyClient封装
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interface RAGEngine {
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// 创建知识库
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createDataset(name: string): Promise<string>;
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// 上传文档
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uploadDocument(datasetId: string, file: File): Promise<string>;
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// 语义检索
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search(datasetId: string, query: string, topK?: number): Promise<SearchResult[]>;
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// RAG问答
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chatWithRAG(datasetId: string, query: string): Promise<string>;
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}
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```
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---
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## 📈 优化成果
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**检索参数优化：**
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| 指标 | 优化前 | 优化后 | 提升 |
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|------|--------|--------|------|
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| 检索数量 | 3 chunks | 15 chunks | 5倍 |
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| Chunk大小 | 500 tokens | 1500 tokens | 3倍 |
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| 总覆盖 | 1,500 tokens | 22,500 tokens | 15倍 |
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| 覆盖率 | ~5% | ~40-50% | 8-10倍 |
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---
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## 🔗 相关文档
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- [通用能力层总览](../README.md)
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- [Dify集成文档](../../00-系统总体设计/03-数据库架构说明.md)
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---
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**最后更新：** 2025-11-06
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**维护人：** 技术架构师
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