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Preview Code

```python
# AI Dev Tool: PostgreSQL Vector Search Extension with Next.js Expo Monorepo Boilerplate
# Description: A high-performance, production-ready developer code asset for building scalable vector search applications
# Category: Production Starter Boilerplate

import os
import psycopg2
from psycopg2 import extras
from typing import List, Dict
from next_app import create_next_app
from expo_app import create_expo_app

# PostgreSQL Vector Search Extension Configuration
POSTGRES_HOST = os.environ.get('POSTGRES_HOST', 'localhost')
POSTGRES_PORT = int(os.environ.get('POSTGRES_PORT', 5432))
POSTGRES_USER = os.environ.get('POSTGRES_USER', 'postgres')
POSTGRES_PASSWORD = os.environ.get('POSTGRES_PASSWORD', 'postgres')
POSTGRES_DB = os.environ.get('POSTGRES_DB', 'vector_search')

# Connect to PostgreSQL database
def connect_to_postgres() -> psycopg2.Connection:
    """Establish a connection to the PostgreSQL database"""
    try:
        conn = psycopg2.connect(
            host=POSTGRES_HOST,
# ... full runnable version includes tests & documentation