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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# ================================================
# A production-ready starter boilerplate for building micro-SaaS applications
# using FastAPI, Pydantic v2, and PostgreSQL Vector Search Extension.

from fastapi import FastAPI, Depends, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel, Field
from typing import List, Optional
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session
import psycopg2
import uvicorn

# Initialize the FastAPI application
app = FastAPI()

# Define the database connection parameters
POSTGRES_USER = "your_username"
POSTGRES_PASSWORD = "your_password"
POSTGRES_HOST = "your_host"
POSTGRES_PORT = 5432
POSTGRES_DB = "your_database"

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

# Create a configured "Session" class
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine

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