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
34 lines
497 B
TypeScript
34 lines
497 B
TypeScript
import { PrismaClient } from '@prisma/client';
|
|
|
|
const prisma = new PrismaClient();
|
|
|
|
async function main() {
|
|
const users: any[] = await prisma.$queryRaw`
|
|
SELECT id, name, email FROM public.users
|
|
`;
|
|
|
|
console.log('public.users 中的用户:');
|
|
if (users.length === 0) {
|
|
console.log(' ❌ 无用户');
|
|
} else {
|
|
users.forEach(u => console.log(` ✅ ${u.id}: ${u.name} (${u.email})`));
|
|
}
|
|
}
|
|
|
|
main()
|
|
.catch(console.error)
|
|
.finally(() => prisma.$disconnect());
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|