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```python
# AI Dev Tool: PostgreSQL Vector Search Extension with Next.js Expo Monorepo Boilerplate
# Description: A production-ready developer code asset for building scalable and secure data-driven applications
# Author: Elite Software Architect and Micro-SaaS Developer

import os
from typing import List, Dict
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from fastapi.requests import Request
from pydantic import BaseModel
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy.exc import SQLAlchemyError
from nextjs_expo_monorepo_boilerplate import NextJSExpoMonorepoBoilerplate

# Define the PostgreSQL database connection URL
DATABASE_URL = os.environ.get("DATABASE_URL")

# Create a PostgreSQL database engine
engine = create_engine(DATABASE_URL)

# Create a configured "Session" class
Session = sessionmaker(bind=engine)

# Create a base class for declarative class definitions
Base = declarative_base()

# Define a data model for the vector search extension
class VectorSearchModel(Base):
    """Vector Search Model"""
    __tablename__ = "vector_search"
    id =

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