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```python
# AI Dev Tool: AI-Powered Micro-SaaS Boilerplate with FastAPI, Pydantic, and PostgreSQL Vector Search
# ======================================================================================================

import os
import uvicorn
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from typing import List, Optional
from psycopg2 import connect
from psycopg2.extras import DictCursor
from psycopg2.errors import UniqueViolation

# PostgreSQL Database Connection Settings
POSTGRES_HOST = os.environ.get("POSTGRES_HOST", "localhost")
POSTGRES_PORT = os.environ.get("POSTGRES_PORT", 5432)
POSTGRES_USER = os.environ.get("POSTGRES_USER", "postgres")
POSTGRES_PASSWORD = os.environ.get("POSTGRES_PASSWORD", "postgres")
POSTGRES_DB = os.environ.get("POSTGRES_DB", "micro_saaS")

# Create a new FastAPI application
app = FastAPI(title="AI-Powered Micro-SaaS Boilerplate", description="A production-ready boilerplate for building micro-SaaS applications")

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

# Define a Pydantic model

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