⚡ Live Sandbox: AI Dev Tool: PostgreSQL Vector Search (ef5j)

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```python
# AI Dev Tool: Turbocharged Micro-SaaS Boilerplate
# Description: A production-ready, high-performance Micro-SaaS boilerplate
#              utilizing FastAPI, Pydantic v2, and PostgreSQL Vector Search Extension

from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel, validator
from typing import Optional
import psycopg2
from psycopg2 import Error
import uvicorn
from cloudflare import CloudflareWorkers

# Initialize FastAPI app
app = FastAPI(title="Turbocharged Micro-SaaS Boilerplate",
              description="A high-performance Micro-SaaS boilerplate",
              version="1.0.0")

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

@validator('email')
    def validate_email(cls, v):
        """Validate email"""
        if '@' not in v:
            raise ValueError('Invalid email')
        return v

class Item(BaseModel):
    """Item model"""
    id: int
    name: str
    description: Optional[str] = None

# Initialize PostgreSQL connection
def init_postgres():
    """

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