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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@@ -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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@@ -161,5 +161,6 @@ def apply_filter(
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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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@@ -101,5 +101,6 @@ except Exception as e:
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@@ -81,5 +81,6 @@ except Exception as e:
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