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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# =============================================
# This is 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 fastapi.responses import JSONResponse
from fastapi.requests import Request
from pydantic import BaseModel, validator
from typing import Optional
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String
from sqlalchemy.types import JSON
import os
import json
from psycopg2.extras import Json

# Initialize the FastAPI application
app = FastAPI()

# Define the database connection URL
DATABASE_URL = os.environ.get("DATABASE_URL")

# Create a database engine
engine = create_engine(DATABASE_URL)

# Create a session maker
Session = sessionmaker(bind=engine)

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

# Define a model for the vector search table
class VectorSearchModel(Base):
    __tablename__ = "vector_search"
    id = Column(Integer, primary_key=True)

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