⚡ Live Sandbox: AI Dev Tool: PostgreSQL Vector Search Extension

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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Starter Boilerplate
# Description: A production-ready starter boilerplate for building micro-SaaS applications using FastAPI and Pydantic v2.

from fastapi import FastAPI, Depends
from pydantic import BaseModel
from typing import List
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy import Column, Integer, String
from cloudflare import WorkersKV

# Initialize the FastAPI application
app = FastAPI()

# Initialize the Cloudflare Workers KV store
kv = WorkersKV(namespace="my-namespace")

# Define the database connection
SQLALCHEMY_DATABASE_URL = "postgresql://user:password@host:port/dbname"
engine = create_engine(SQLALCHEMY_DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

# Define the base model for the database
Base = declarative_base()

# Define a sample model for the database
class Item(Base):
    __tablename__ = "items"
    id = Column(Integer, primary_key=True)
    name = Column(String)
    description = Column(String)

# Create the database tables
Base

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