Files
AIclinicalresearch/backend/verify_job_common.ts
HaHafeng 40c2f8e148 feat(rag): Complete RAG engine implementation with pgvector
Major Features:
- Created ekb_schema (13th schema) with 3 tables: KB/Document/Chunk
- Implemented EmbeddingService (text-embedding-v4, 1024-dim vectors)
- Implemented ChunkService (smart Markdown chunking)
- Implemented VectorSearchService (multi-query + hybrid search)
- Implemented RerankService (qwen3-rerank)
- Integrated DeepSeek V3 QueryRewriter for cross-language search
- Python service: Added pymupdf4llm for PDF-to-Markdown conversion
- PKB: Dual-mode adapter (pgvector/dify/hybrid)

Architecture:
- Brain-Hand Model: Business layer (DeepSeek) + Engine layer (pgvector)
- Cross-language support: Chinese query matches English documents
- Small Embedding (1024) + Strong Reranker strategy

Performance:
- End-to-end latency: 2.5s
- Cost per query: 0.0025 RMB
- Accuracy improvement: +20.5% (cross-language)

Tests:
- test-embedding-service.ts: Vector embedding verified
- test-rag-e2e.ts: Full pipeline tested
- test-rerank.ts: Rerank quality validated
- test-query-rewrite.ts: Cross-language search verified
- test-pdf-ingest.ts: Real PDF document tested (Dongen 2003.pdf)

Documentation:
- Added 05-RAG-Engine-User-Guide.md
- Added 02-Document-Processing-User-Guide.md
- Updated system status documentation

Status: Production ready
2026-01-21 20:24:29 +08:00

48 lines
930 B
TypeScript

import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
async function main() {
const result: any[] = await prisma.$queryRaw`
SELECT table_name
FROM information_schema.tables
WHERE table_schema = 'platform_schema' AND table_name = 'job_common'
`;
if (result.length > 0) {
console.log('✅ platform_schema.job_common 表已恢复!');
// 检查列结构
const cols: any[] = await prisma.$queryRaw`
SELECT column_name, data_type
FROM information_schema.columns
WHERE table_schema = 'platform_schema' AND table_name = 'job_common'
ORDER BY ordinal_position
`;
console.log('\n列结构:');
cols.forEach(c => console.log(` ${c.column_name}: ${c.data_type}`));
} else {
console.log('❌ platform_schema.job_common 表不存在');
}
}
main()
.catch(console.error)
.finally(() => prisma.$disconnect());