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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# ================================================
# This is 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
import psycopg2
from psycopg2 import Error
from psycopg2.extras import DictCursor

# Initialize FastAPI app
app = FastAPI()

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

class Item(BaseModel):
    """Item model"""
    id: int
    title: str
    description: str

# Define database connection settings
DATABASE_HOST = "localhost"
DATABASE_PORT = 5432
DATABASE_NAME = "mydatabase"
DATABASE_USER = "myuser"
DATABASE_PASSWORD = "mypassword"

# Establish database connection
def get_db_connection():
    """Get database connection"""
    try:
        connection = psycopg2.connect(
            host=DATABASE_HOST,
            port=DATABASE_PORT,
            database=DATABASE_NAME

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