HaHafeng
beb7f7f559
Core Components: - PDFStorageService with Dify/OSS adapters - LLM12FieldsService with Nougat-first + dual-model + 3-layer JSON parsing - PromptBuilder for dynamic prompt assembly - MedicalLogicValidator with 5 rules + fault tolerance - EvidenceChainValidator for citation integrity - ConflictDetectionService for dual-model comparison Prompt Engineering: - System Prompt (6601 chars, Section-Aware strategy) - User Prompt template (PICOS context injection) - JSON Schema (12 fields constraints) - Cochrane standards (not loaded in MVP) Key Innovations: - 3-layer JSON parsing (JSON.parse + json-repair + code block extraction) - Promise.allSettled for dual-model fault tolerance - safeGetFieldValue for robust field extraction - Mixed CN/EN token calculation Integration Tests: - integration-test.ts (full test) - quick-test.ts (quick test) - cached-result-test.ts (fault tolerance test) Documentation Updates: - Development record (Day 2-3 summary) - Quality assurance strategy (full-text screening) - Development plan (progress update) - Module status (v1.1 update) - Technical debt (10 new items) Test Results: - JSON parsing success rate: 100% - Medical logic validation: 5/5 passed - Dual-model parallel processing: OK - Cost per PDF: CNY 0.10 Files: 238 changed, 14383 insertions(+), 32 deletions(-) Docs: docs/03-涓氬姟妯″潡/ASL-AI鏅鸿兘鏂囩尞/05-寮€鍙戣褰?2025-11-22_Day2-Day3_LLM鏈嶅姟涓庨獙璇佺郴缁熷紑鍙?md
73 lines
1.1 KiB
Markdown
73 lines
1.1 KiB
Markdown
# PKB - 个人知识库
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> **模块代号：** PKB (Personal Knowledge Base)
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> **开发状态：** ✅ 已完成
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> **商业价值：** ⭐⭐⭐
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> **独立性：** ⭐⭐⭐
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---
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## 📋 模块概述
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个人知识库允许用户创建私人文献库，并基于库内文献进行AI问答（RAG）。
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---
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## 🎯 核心功能
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### 已完成功能
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1. ✅ **知识库CRUD** - 创建、查看、编辑、删除
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2. ✅ **文档上传** - PDF、Word、TXT、Markdown
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3. ✅ **RAG问答** - 基于知识库内容问答
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4. ✅ **@知识库引用** - 智能引用系统（100%准确溯源）
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5. ✅ **配额管理** - 每用户3个知识库，每库50个文档
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---
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## 📂 文档结构
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```
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PKB-个人知识库/
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├── [AI对接] PKB快速上下文.md # ⏳ 待创建
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├── 00-项目概述/
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├── 01-设计文档/
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└── README.md # ✅ 当前文档
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```
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---
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## 🔗 依赖的通用能力
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- **LLM网关** - RAG问答
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- **文档处理引擎** - 文档文本提取
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- **RAG引擎** - 向量检索
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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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