Files
vector-search-demo/oravector-demo/backend/db_oracle.py
T
dierk 66f7db40b0 Initial implementation of pgvector and Oracle 26ai vector search demo
Three FastAPI backends comparing PostgreSQL/pgvector and Oracle 26ai for
semantic image search using CLIP embeddings: Python-side embedding for both
databases, plus Oracle in-database embedding via VECTOR_EMBEDDING(CLIP_TXT).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-19 11:33:16 +02:00

20 lines
545 B
Python

import os
import oracledb
from dotenv import load_dotenv
load_dotenv()
def get_connection():
return oracledb.connect(
user=os.getenv("ORA_USER"),
password=os.getenv("ORA_PASSWORD"),
dsn=f"{os.getenv('ORA_HOST')}:{os.getenv('ORA_PORT')}/{os.getenv('ORA_SERVICE')}",
)
def get_connection_indb():
return oracledb.connect(
user=os.getenv("ORA_USER_INDB"),
password=os.getenv("ORA_PASSWORD_INDB"),
dsn=f"{os.getenv('ORA_HOST')}:{os.getenv('ORA_PORT')}/{os.getenv('ORA_SERVICE')}",
)