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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# ================================================
# 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 fastapi.requests import Request
from pydantic import BaseModel, Field
from typing import List, Optional
from psycopg2 import connect
from psycopg2.extras import DictCursor
from psycopg2.errors import UniqueViolation
import uvicorn
import logging

# Initialize the FastAPI application
app = FastAPI()

# Define the PostgreSQL connection settings
POSTGRES_HOST = "localhost"
POSTGRES_PORT = 5432
POSTGRES_USER = "postgres"
POSTGRES_PASSWORD = "postgres"
POSTGRES_DB = "micro_saaS"

# Define the Pydantic models for the micro-SaaS application
class User(BaseModel):
    id: int = Field(..., description="User ID")
    name: str = Field(..., description="User name")
    email: str = Field(..., description="User email")

class Product(BaseModel):
    id: int = Field(..., description="Product

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