Files
AIclinicalresearch/docker-compose.yml
HaHafeng dfc0fe0b9a feat(pkb): Integrate pgvector and create Dify replacement plan
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
2026-01-20 00:00:58 +08:00

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YAML

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