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

import os
import uvicorn
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from typing import List, Optional
from psycopg2 import connect
from psycopg2.extras import DictCursor

# Define the database connection settings
DB_HOST = os.environ.get("DB_HOST", "localhost")
DB_PORT = os.environ.get("DB_PORT", 5432)
DB_USER = os.environ.get("DB_USER", "postgres")
DB_PASSWORD = os.environ.get("DB_PASSWORD", "postgres")
DB_NAME = os.environ.get("DB_NAME", "micro_saaS")

# Establish a connection to the PostgreSQL database
def get_db_connection():
    """Returns a connection to the PostgreSQL database."""
    return connect(
        host=DB_HOST,
        port=DB_PORT,
        user=DB_USER,
        password=DB_PASSWORD,
        dbname=DB_NAME,
        cursor_factory=DictCursor
    )

# Define the FastAPI application
app = FastAPI()

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