feat(iit-manager): Integrate Dify knowledge base for hybrid retrieval

Completed features:
- Created Dify dataset (Dify_test0102) with 2 processed documents
- Linked test0102 project with Dify dataset ID
- Extended intent detection to recognize query_protocol intent
- Implemented queryDifyKnowledge method (semantic search Top 5)
- Integrated hybrid retrieval (REDCap data + Dify documents)
- Fixed AI hallucination bugs (intent detection + API field path)
- Developed debugging scripts
- Completed end-to-end testing (5 scenarios passed)
- Generated comprehensive documentation (600+ lines)
- Updated development plans and module status

Technical highlights:
- Single project single knowledge base architecture
- Smart routing based on user intent
- Prevent AI hallucination by injecting real data/documents
- Session memory for multi-turn conversations
- Reused LLMFactory for DeepSeek-V3 integration

Bug fixes:
- Fixed intent detection missing keywords
- Fixed Dify API response field path error

Testing: All scenarios verified in WeChat production environment

Status: Fully tested and deployed

docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_AI_Few-shot示例库.md

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docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_Bug修复总结_2025-12-08.md

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docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_方案B实施总结_2025-12-09.md

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docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_缺失值处理_开发进度_2025-12-10.md

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docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_缺失值处理功能_更新说明.md

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