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
This commit is contained in:
2026-01-20 00:00:58 +08:00
parent 1ece9a4ae8
commit dfc0fe0b9a
289 changed files with 1897 additions and 41 deletions

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@@ -80,5 +80,6 @@ models/

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@@ -68,5 +68,6 @@ __version__ = '1.0.0'

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@@ -201,5 +201,6 @@ def get_missing_summary(df: pd.DataFrame) -> dict:

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@@ -325,5 +325,6 @@ def get_unpivot_preview(

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@@ -335,5 +335,6 @@ if __name__ == "__main__":

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@@ -81,5 +81,6 @@ except Exception as e: