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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with PostgreSQL Vector Search Extension
# =============================================================================================
# This is a production-ready starter boilerplate for building micro-SaaS applications using FastAPI and Pydantic v2.
# It includes a PostgreSQL Vector Search Extension for efficient searching and filtering of data.

from fastapi import FastAPI, Depends
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session
from sqlalchemy.exc import SQLAlchemyError
from typing import List
import psycopg2
import psycopg2.extras

# Initialize the FastAPI application
app = FastAPI()

# Define the database connection parameters
POSTGRES_USER = "your_username"
POSTGRES_PASSWORD = "your_password"
POSTGRES_HOST = "your_host"
POSTGRES_PORT = 5432
POSTGRES_DB = "your_database"

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

# Create a configured "Session" class
SessionLocal = session

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