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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,
# ... full runnable version includes tests & documentation
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