docs: complete documentation system (250+ files)

- System architecture and design documentation
- Business module docs (ASL/AIA/PKB/RVW/DC/SSA/ST)
- ASL module complete design (quality assurance, tech selection)
- Platform layer and common capabilities docs
- Development standards and API specifications
- Deployment and operations guides
- Project management and milestone tracking
- Architecture implementation reports
- Documentation templates and guides
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# RAG引擎
> **能力定位:** 通用能力层
> **复用率:** 43% (3个模块依赖)
> **优先级:** P1
> **状态:** ✅ 已实现基于Dify
---
## 📋 能力概述
RAG引擎负责
- 向量化存储Embedding
- 语义检索Semantic Search
- 检索增强生成RAG
- Rerank重排序
---
## 📊 依赖模块
**3个模块依赖43%复用率):**
1. **AIA** - AI智能问答@知识库问答
2. **ASL** - AI智能文献文献内容检索
3. **PKB** - 个人知识库RAG问答
---
## 💡 核心功能
### 1. 向量化存储
- 基于Dify平台
- Qdrant向量数据库Dify内置
### 2. 语义检索
- Top-K检索
- 相关度评分
- 多知识库联合检索
### 3. RAG问答
- 检索 + 生成
- 智能引用系统100%准确溯源)
---
## 🏗️ 技术架构
**基于Dify平台**
```typescript
// DifyClient封装
interface RAGEngine {
// 创建知识库
createDataset(name: string): Promise<string>;
// 上传文档
uploadDocument(datasetId: string, file: File): Promise<string>;
// 语义检索
search(datasetId: string, query: string, topK?: number): Promise<SearchResult[]>;
// RAG问答
chatWithRAG(datasetId: string, query: string): Promise<string>;
}
```
---
## 📈 优化成果
**检索参数优化:**
| 指标 | 优化前 | 优化后 | 提升 |
|------|--------|--------|------|
| 检索数量 | 3 chunks | 15 chunks | 5倍 |
| Chunk大小 | 500 tokens | 1500 tokens | 3倍 |
| 总覆盖 | 1,500 tokens | 22,500 tokens | 15倍 |
| 覆盖率 | ~5% | ~40-50% | 8-10倍 |
---
## 🔗 相关文档
- [通用能力层总览](../README.md)
- [Dify集成文档](../../00-系统总体设计/03-数据库架构说明.md)
---
**最后更新:** 2025-11-06
**维护人:** 技术架构师