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```python # AI Dev Tool: Pgvectorsearch API Integration Wrapper # ================================================ # This is a production-ready API integration wrapper for Pgvectorsearch, # an index that is faster than pgvector's IVFFlat and HNSW. # It provides a simple and efficient way to interact with the Pgvectorsearch API. import os import json from typing import Dict, List from fastapi import FastAPI, HTTPException from fastapi.responses import JSONResponse from pydantic import BaseModel from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from sqlalchemy.ext.declarative import declarative_base from sqlalchemy import Column, Integer, String from sqlalchemy.dialects.postgresql import ARRAY # Define the Pgvectorsearch API settings PGVECTORSEARCH_API_URL = os.environ.get("PGVECTORSEARCH_API_URL") PGVECTORSEARCH_API_KEY = os.environ.get("PGVECTORSEARCH_API_KEY") # Define the PostgreSQL database settings POSTGRESQL_DATABASE_URL = os.environ.get("POSTGRESQL_DATABASE_URL") # Create a FastAPI app app = FastAPI() # Create a PostgreSQL database engine engine = create_engine(POSTGRESQL_DATABASE_URL) Session = sessionmaker(bind=engine) session = Session() # Define
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