Fix schema table langchain_pg_embedding

src/db/postgres/vector_store.py

@@ -1,10 +1,16 @@
 """PGVector store setup for document embeddings."""
 
 from langchain_postgres import PGVector
+from langchain_postgres.vectorstores import EmbeddingStore
 from langchain_openai import AzureOpenAIEmbeddings
+from sqlalchemy.orm import column_property
 from src.config.settings import settings
 from src.db.postgres.connection import _pgvector_engine
 
+# Golang-managed schema uses 'uuid' as the PK column; langchain_postgres 0.0.17 expects 'id'.
+# Remap the ORM attribute so generated SQL targets the correct column.
+EmbeddingStore.id = column_property(EmbeddingStore.__table__.c["uuid"])
+
 # Initialize embeddings
 embeddings = AzureOpenAIEmbeddings(
     azure_deployment=settings.azureai_deployment_name_embedding,