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
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@@ -257,5 +257,6 @@ checkDCTables();
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@@ -12,3 +12,4 @@ CREATE SCHEMA IF NOT EXISTS capability_schema;
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@@ -209,5 +209,6 @@ createAiHistoryTable()
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@@ -196,5 +196,6 @@ createToolCTable()
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@@ -193,5 +193,6 @@ createToolCTable()
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@@ -315,3 +315,4 @@ main()
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})
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.finally(() => prisma.$disconnect());
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@@ -122,3 +122,4 @@ main()
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@@ -342,3 +342,4 @@ runTests().catch(error => {
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@@ -88,3 +88,4 @@ testAPI().catch(console.error);
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@@ -118,3 +118,4 @@ async function testDeepSearch() {
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// ========== 运行 ==========
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testDeepSearch().catch(console.error);
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@@ -307,3 +307,4 @@ verifySchemas()
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