HaHafeng
dfc0fe0b9a
Summary: - Migrate PostgreSQL to pgvector/pgvector:pg15 Docker image - Successfully install and verify pgvector 0.8.1 extension - Create comprehensive Dify-to-pgvector migration plan - Update PKB module documentation with pgvector status - Update system documentation with pgvector integration Key changes: - docker-compose.yml: Switch to pgvector/pgvector:pg15 image - Add EkbDocument and EkbChunk data model design - Design R-C-R-G hybrid retrieval architecture - Add clinical data JSONB fields (pico, studyDesign, regimen, safety, criteria, endpoints) - Create detailed 10-day implementation roadmap Documentation updates: - PKB module status: pgvector RAG infrastructure ready - System status: pgvector 0.8.1 integrated - New: Dify replacement development plan (01-Dify替换为pgvector开发计划.md) - New: Enterprise medical knowledge base solution V2 Tested: PostgreSQL with pgvector verified, frontend and backend functionality confirmed
86 lines
397 B
Plaintext
86 lines
397 B
Plaintext
# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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venv/
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env/
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ENV/
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.venv
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# 测试
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.pytest_cache/
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.coverage
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htmlcov/
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*.log
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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# 文档
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*.md
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docs/
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# Git
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.git/
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.gitignore
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# 环境变量
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.env
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.env.local
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# 临时文件
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*.tmp
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temp/
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tmp/
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uploads/
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# 模型缓存 (避免打包Nougat模型)
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.cache/
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models/
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*.pth
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*.pt
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*.onnx
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