⚡ Live Sandbox: AI Dev Tool: FastAPI Pydantic v2 (n9qb)

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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Starter with PostgreSQL Vector Search Extension
# Description: 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 pydantic import BaseModel
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy.exc import SQLAlchemyError
from typing import List
import psycopg2
import uvicorn

# Initialize FastAPI app
app = FastAPI()

# Define PostgreSQL connection parameters
POSTGRES_USER = "your_username"
POSTGRES_PASSWORD = "your_password"
POSTGRES_HOST = "your_host"
POSTGRES_PORT = "your_port"
POSTGRES_DB = "your_database"

# Create PostgreSQL connection engine
engine = create_engine(f"postgresql://{POSTGRES_USER}:{POSTGRES_PASSWORD}@{POSTGRES_HOST}:{POSTGRES_PORT}/{POSTGRES_DB}")

# Create a configured "Session" class
Session = sessionmaker(bind=engine)

# Create a base class for declarative class definitions
Base = declarative_base()

# Define a Pydantic model for

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