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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@@ -694,4 +694,5 @@ private async processMessageAsync(xmlData: any) {
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@@ -1087,5 +1087,6 @@ async function testIntegration() {
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@@ -228,5 +228,6 @@ Content-Type: application/json
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@@ -649,4 +649,5 @@ REDCap API: exportRecords success { recordCount: 1 }
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@@ -654,5 +654,6 @@ backend/src/modules/iit-manager/
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@@ -804,5 +804,6 @@ CREATE TABLE iit_schema.wechat_tokens (
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@@ -561,5 +561,6 @@ Day 3 的开发工作虽然遇到了多个技术问题,但最终成功完成
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@@ -328,5 +328,6 @@ AI: "出生日期:2017-01-04
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@@ -272,5 +272,6 @@ Day 4: REDCap EM(Webhook推送)← 作为增强,而非核心
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@@ -687,4 +687,5 @@ const answer = `根据研究方案[1]和CRF表格[2],纳入标准包括:
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