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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# =====================================================
# This is a production-ready developer code asset for building micro-SaaS applications
# using FastAPI, Pydantic v2, and PostgreSQL Vector Search Extension.

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
import psycopg2
from psycopg2 import Error
import uvicorn
from fastapi.responses import JSONResponse
from fastapi.requests import Request

# Initialize the FastAPI application
app = FastAPI()

# Define the Pydantic model for the user
class User(BaseModel):
    """User model"""
    id: int
    name: str
    email: str

# Define the Pydantic model for the item
class Item(BaseModel):
    """Item model"""
    id: int
    name: str
    description: str
    price: float

# Define the PostgreSQL connection settings
POSTGRES_HOST = "localhost"
POSTGRES_DB = "mydatabase"
POSTGRES_USER = "myuser"
POSTGRES_PASSWORD = "mypassword"

# Create a connection to the PostgreSQL database
def create_connection():
    """Create a connection to

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