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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with PostgreSQL Vector Search Extension
# ============================================================================================
# This is a production-ready starter boilerplate for building micro-SaaS applications using FastAPI and Pydantic v2.
# It includes a PostgreSQL Vector Search Extension for efficient searching and filtering of data.

from fastapi import FastAPI, Depends, HTTPException
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from pydantic import BaseModel, Field
from pydantic.validators import UUID4
from sqlalchemy import create_engine, Column, Integer, String, UUID
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session
from sqlalchemy.exc import IntegrityError
from psycopg2.extras import Json
from typing import Optional, List
import uuid
import os
import logging

# Initialize the logger
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Initialize the FastAPI app
app = FastAPI()

# Initialize the OAuth2 password bearer
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")

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

# Create the database engine

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