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
32 lines
400 B
SQL
32 lines
400 B
SQL
-- 在 public.users 中创建 mock 用户
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-- 用于 RVW 模块的测试
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INSERT INTO public.users (id, email, password, name, role, status, kb_quota, kb_used, is_trial, created_at, updated_at)
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VALUES (
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'user-mock-001',
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'mock@test.com',
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'$2b$10$mockhashedpassword123456789',
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'测试用户',
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'user',
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'active',
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3,
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0,
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false,
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NOW(),
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NOW()
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)
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ON CONFLICT (id) DO NOTHING;
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