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```python
# AI Dev Tool: PostgreSQL Vector Search Extension API Integration Wrapper
# =============================================================
# This API Integration Wrapper provides a production-ready interface 
# for interacting with the PostgreSQL Vector Search Extension.
# 
# Installation:
#   pip install psycopg2-binary
#   pip install pydantic

import psycopg2
from psycopg2 import Error
from pydantic import BaseModel
from typing import List, Optional

# PostgreSQL Vector Search Extension API Configuration
class PostgreSQLConfig(BaseModel):
    """PostgreSQL connection configuration"""
    host: str
    database: str
    user: str
    password: str
    port: int = 5432

# PostgreSQL Vector Search Extension API Client
class PostgreSQLClient:
    """PostgreSQL Vector Search Extension API client"""
    def __init__(self, config: PostgreSQLConfig):
        self.config = config
        self.conn = None

def connect(self):
        """Establish a connection to the PostgreSQL database"""
        try:
            self.conn = psycopg2.connect(
                host=self.config.host,
                database=self.config.database,
                user=self.config.user,
                password=self.config.password,
                port=self.config.port
            )
        except Error as e:
            print(f"Error connecting to PostgreSQL: {e

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