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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with PostgreSQL Vector Search Extension
#============================================================================================
from fastapi import FastAPI, Depends, HTTPException
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from pydantic import BaseModel, EmailStr
from typing import Optional
from psycopg2 import connect
from psycopg2.extras import DictCursor
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
import uvicorn
import os

# PostgreSQL Database Connection Settings
POSTGRES_HOST = os.environ.get('POSTGRES_HOST', 'localhost')
POSTGRES_PORT = os.environ.get('POSTGRES_PORT', 5432)
POSTGRES_USER = os.environ.get('POSTGRES_USER', 'postgres')
POSTGRES_PASSWORD = os.environ.get('POSTGRES_PASSWORD', 'postgres')
POSTGRES_DB = os.environ.get('POSTGRES_DB', 'mydb')

# Create a PostgreSQL database engine
engine = create_engine(f'postgresql://{POSTGRES_USER}:{POSTGRES_PASSWORD}@{POSTGRES_HOST}:{POSTGRES_PORT}/{POSTGRES_DB}')

# Create a configured "Session

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