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```python
# AI Dev Tool: Benchmarking Pocket-Scale Inference with PostgreSQL Vector Search Extension
# Description: A production-ready CLI automation tool for benchmarking pocket-scale inference
#              using PostgreSQL Vector Search Extension and Hy4 preview.

import argparse
import time
import psycopg2
from psycopg2 import Error
from typing import List, Dict

# Define a function to create a PostgreSQL connection
def create_postgres_connection(
    host: str, database: str, user: str, password: str
) -> psycopg2.connection:
    """
    Creates a PostgreSQL connection.

Args:
    - host (str): The host URL.
    - database (str): The database name.
    - user (str): The username.
    - password (str): The password.

Returns:
    - psycopg2.connection: A PostgreSQL connection object.
    """
    try:
        # Establish a connection to the PostgreSQL database
        connection = psycopg2.connect(
            host=host, database=database, user=user, password=password
        )
        return connection
    except Error as e:
        print(f"Error creating PostgreSQL connection: {e}")
        return None

# Define a function to create a table with vector search extension
def create_table_with

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