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
74 lines
392 B
Python
74 lines
392 B
Python
"""
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数据操作函数模块
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提供预写的、经过测试的数据处理函数,供功能按钮调用。
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模块列表:
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- filter: 高级筛选
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- recode: 数值映射(重编码)
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- binning: 生成分类变量(分箱)
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- conditional: 条件生成列
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- missing: 缺失值处理
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- duplicate: 去重
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"""
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__version__ = '1.0.0'
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