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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@@ -580,5 +580,6 @@ df['creatinine'] = pd.to_numeric(df['creatinine'], errors='coerce')
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@@ -418,5 +418,6 @@ npm run dev
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@@ -995,5 +995,6 @@ export const aiController = new AIController();
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@@ -1329,5 +1329,6 @@ npm install react-markdown
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@@ -237,5 +237,6 @@ FMA___基线 | FMA___1个月 | FMA___2个月
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@@ -395,5 +395,6 @@ formula = "FMA总分(0-100) / 100"
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@@ -229,5 +229,6 @@ async handleFillnaMice(request, reply) {
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@@ -201,5 +201,6 @@ method: 'mean' | 'median' | 'mode' | 'constant' | 'ffill' | 'bfill'
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