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

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

# Initialize FastAPI app
app = FastAPI()

# Define Pydantic models
class User(BaseModel):
    """User model"""
    id: int = Field(..., description="User ID")
    name: str = Field(..., description="User name")
    email: str = Field(..., description="User email")

class Item(BaseModel):
    """Item model"""
    id: int = Field(..., description="Item ID")
    title: str = Field(..., description="Item title")
    description: str = Field(..., description="Item description")

# Define PostgreSQL connection settings
POSTGRES_HOST = "localhost"
POSTGRES_DB = "mydb"
POSTGRES_USER = "myuser"
POSTGRES_PASSWORD = "myp

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