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```python
# AI Dev Tool: Cloudflare Worker PostgreSQL Vector Search API
# ================================================
# A production-ready API integration wrapper for Cloudflare Worker and PostgreSQL Vector Search

import os
import json
from typing import Dict, List
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from hono import Hono
from cog import Base, Input, Output

# PostgreSQL Vector Search Extension Configuration
POSTGRES_USER = os.environ.get('POSTGRES_USER')
POSTGRES_PASSWORD = os.environ.get('POSTGRES_PASSWORD')
POSTGRES_HOST = os.environ.get('POSTGRES_HOST')
POSTGRES_PORT = os.environ.get('POSTGRES_PORT')
POSTGRES_DB = os.environ.get('POSTGRES_DB')

# Create a PostgreSQL engine
engine = create_engine(f'postgresql://{POSTGRES_USER}:{POSTGRES_PASSWORD}@{POSTGRES_HOST}:{POSTGRES_PORT}/{POSTGRES_DB}')

# Create a configured "Session" class
Session = sessionmaker(bind=engine)

# Create a base class for declarative class definitions
Base = declarative_base()

# Define a class that inherits from Base and defines the columns for the vector search table
class VectorSearch(Base):
    __tablename

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