⚡ Live Sandbox: AI Dev Tool: LLMs Intelligence vs Cost

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```python
# AI Dev Tool: PostgreSQL Vector Search Extension with LLM Integration
# =============================================
# This is a production-ready developer code asset that integrates PostgreSQL Vector Search Extension
# with Large Language Models (LLMs) for intelligent data retrieval and analysis.

import os
import psycopg2
from psycopg2 import extras
from transformers import AutoModelForSequenceClassification, AutoTokenizer
import torch

# Define the PostgreSQL connection parameters
DB_HOST = os.environ.get('DB_HOST', 'localhost')
DB_NAME = os.environ.get('DB_NAME', 'mydatabase')
DB_USER = os.environ.get('DB_USER', 'myuser')
DB_PASSWORD = os.environ.get('DB_PASSWORD', 'mypassword')

# Establish a connection to the PostgreSQL database
def connect_to_db():
    """Establish a connection to the PostgreSQL database."""
    try:
        conn = psycopg2.connect(
            host=DB_HOST,
            database=DB_NAME,
            user=DB_USER,
            password=DB_PASSWORD
        )
        return conn
    except psycopg2.OperationalError as e:
        print(f"Failed to connect to database: {e}")
        return None

# Define the LLM model and tokenizer
LLM_MODEL_NAME = "distilbert-base-uncased-finetuned-s

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