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```python
# AI Dev Tool: Vector Search Extension for PostgreSQL
# ================================================
# This tool provides a PostgreSQL Vector Search Extension using Cloudflare Workers and Hono API template.
# It enables efficient similarity search and filtering of large datasets.

import os
import json
from typing import List, Dict
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from fastapi.requests import Request
from pydantic import BaseModel
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy.exc import SQLAlchemyError
from cloudflare import CloudflareWorkers
from hono import HonoAPI

# Define the PostgreSQL database connection
SQLALCHEMY_DATABASE_URL = "postgresql://user:password@host:port/dbname"
engine = create_engine(SQLALCHEMY_DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

# Define the data model for vector search
Base = declarative_base()

class VectorSearchModel(Base):
    """Data model for vector search"""
    __tablename__ = "vector_search"
    id = Column(Integer, primary_key=True)
    vector = Column(String)
    metadata =

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