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

from fastapi import FastAPI, Depends
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from typing import List
from psycopg2 import connect
from psycopg2.extras import DictCursor
from psycopg2.errors import UniqueViolation
import logging

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

# Define the database connection settings
DB_HOST = "localhost"
DB_NAME = "mydatabase"
DB_USER = "myuser"
DB_PASSWORD = "mypassword"

# Define the PostgreSQL Vector Search Extension connection
def get_db_connection():
    try:
        conn = connect(
            host=DB_HOST,
            database=DB_NAME,
            user=DB_USER,
            password=DB_PASSWORD,
            cursor_factory=DictCursor
        )
        return conn
    except Exception as e:
        logger.error(f"Failed to connect to database: {e}")
        return None

# Define the FastAPI application
app = FastAPI()

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