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```python
# AI Dev Tool: Edge Function Vector Search API
# =============================================
# A production-ready API integration wrapper for PostgreSQL Vector Search Extension
# using FastAPI, Pydantic v2, and Cloudflare Workers.

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
import psycopg2
import json
from cloudflare import Cloudflare

# Define the PostgreSQL connection settings
POSTGRES_HOST = "localhost"
POSTGRES_DB = "vector_search_db"
POSTGRES_USER = "vector_search_user"
POSTGRES_PASSWORD = "vector_search_password"

# Define the Cloudflare Workers settings
CLOUDFLARE_ACCOUNT_ID = "your_account_id"
CLOUDFLARE_API_TOKEN = "your_api_token"

# Create a FastAPI app
app = FastAPI()

# Define a Pydantic model for the search query
class SearchQuery(BaseModel):
    """Search query model"""
    query: str
    limit: Optional[int] = 10

# Define a Pydantic model for the search result
class SearchResult(BaseModel):
    """Search result model"""
    id: int
    vector: List[float]
    score: float

# Create a PostgreSQL connection pool
def get

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