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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@@ -1298,5 +1298,6 @@ interface FulltextScreeningResult {
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@@ -412,5 +412,6 @@ GET /api/v1/asl/fulltext-screening/tasks/:taskId/export
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@@ -355,5 +355,6 @@ Linter错误:0个
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@@ -514,5 +514,6 @@ Failed to open file '\\tmp\\extraction_service\\temp_10000_test.pdf'
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@@ -172,3 +172,4 @@ UNIFUNCS_API_KEY=sk-xxxx
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- [Postgres-Only 异步任务处理指南](../../02-通用能力层/Postgres-Only异步任务处理指南.md)
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- [数据库开发规范](../../04-开发规范/09-数据库开发规范.md)
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