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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 pydantic import BaseModel, Field
from typing import List, Optional
from psycopg2 import connect
from psycopg2.extras import DictCursor
import json

# Define the FastAPI application
app = FastAPI(
    title="Micro-SaaS Boilerplate",
    description="A production-ready, type-safe boilerplate for building micro-SaaS applications",
    version="1.0.0",
)

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

# Define the 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 Product(Base

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