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
38 lines
611 B
Plaintext
38 lines
611 B
Plaintext
# Git attributes for REDCap Docker deployment
|
||
# 确保跨平台一致性,防止CRLF/LF问题
|
||
|
||
# PHP文件统一使用LF换行符(Linux标准)
|
||
*.php text eol=lf
|
||
*.inc text eol=lf
|
||
|
||
# Shell脚本统一使用LF
|
||
*.sh text eol=lf
|
||
|
||
# PowerShell脚本保持CRLF(Windows标准)
|
||
*.ps1 text eol=crlf
|
||
|
||
# 配置文件统一使用LF
|
||
*.conf text eol=lf
|
||
*.ini text eol=lf
|
||
*.yml text eol=lf
|
||
*.yaml text eol=lf
|
||
|
||
# Markdown和文档
|
||
*.md text eol=lf
|
||
*.txt text eol=lf
|
||
|
||
# 二进制文件不做转换
|
||
*.png binary
|
||
*.jpg binary
|
||
*.jpeg binary
|
||
*.gif binary
|
||
*.ico binary
|
||
*.pdf binary
|
||
*.zip binary
|
||
*.tar binary
|
||
*.gz binary
|
||
|
||
|
||
|
||
|