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
52 lines
1001 B
YAML
52 lines
1001 B
YAML
version: '3.8'
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services:
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# PostgreSQL 数据库 (with pgvector extension)
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postgres:
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image: pgvector/pgvector:pg15
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container_name: ai-clinical-postgres
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environment:
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POSTGRES_DB: ai_clinical_research
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POSTGRES_USER: postgres
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POSTGRES_PASSWORD: postgres123
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ports:
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- "5432:5432"
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volumes:
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- postgres_data:/var/lib/postgresql/data
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networks:
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- ai-clinical-network
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U postgres"]
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interval: 10s
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timeout: 5s
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retries: 5
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# Redis 缓存
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redis:
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image: redis:7-alpine
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container_name: ai-clinical-redis
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ports:
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- "6379:6379"
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volumes:
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- redis_data:/data
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networks:
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- ai-clinical-network
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command: redis-server --appendonly yes
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 10s
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timeout: 5s
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retries: 5
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volumes:
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postgres_data:
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redis_data:
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networks:
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ai-clinical-network:
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driver: bridge
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