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

backend/src/common/auth/jwt.service.ts

@@ -195,3 +195,4 @@ export const jwtService = new JWTService();
 
 
 
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backend/src/common/jobs/utils.ts

@@ -325,5 +325,6 @@ export function getBatchItems<T>(
 
 
 
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backend/src/common/prompt/prompt.types.ts

@@ -78,3 +78,4 @@ export interface VariableValidation {
 
 
 
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backend/src/common/streaming/OpenAIStreamAdapter.ts

@@ -199,3 +199,4 @@ export function createOpenAIStreamAdapter(
 
 
 
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backend/src/common/streaming/StreamingService.ts

@@ -205,3 +205,4 @@ export async function streamChat(
 
 
 
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backend/src/common/streaming/index.ts

@@ -23,3 +23,4 @@ export { THINKING_TAGS } from './types';
 
 
 
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backend/src/common/streaming/types.ts

@@ -98,3 +98,4 @@ export type SSEEventType =
 
 
 
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