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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with PostgreSQL Vector Search Extension
# =============================================================================================
# This is a production-ready developer code asset for building high-performance Micro-SaaS applications
# using FastAPI, Pydantic v2, and PostgreSQL Vector Search Extension.

import os
import uvicorn
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel, Field
from typing import List, Optional
from psycopg2 import connect, Error
from psycopg2.extras import DictCursor
from psycopg2.extensions import ISOLATION_LEVEL_SERIALIZABLE

# Define the PostgreSQL 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", "mydb")

# Define the FastAPI application
app = FastAPI(title="FastAPI Pydantic v2 Micro-SaaS Boilerplate",
              description="A production-ready developer code asset for building

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