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```python
# AI Dev Tool: Edge AI-Powered 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_worker import Worker

# Define the PostgreSQL connection parameters
POSTGRES_HOST = "localhost"
POSTGRES_DB = "vector_search"
POSTGRES_USER = "postgres"
POSTGRES_PASSWORD = "postgres"

# Define the Cloudflare Worker configuration
CLOUDFLARE_ACCOUNT_ID = "your_account_id"
CLOUDFLARE_API_TOKEN = "your_api_token"
CLOUDFLARE_WORKER_NAME = "vector_search_worker"

# Create a FastAPI app
app = FastAPI()

# Define a Pydantic model for vector search queries
class VectorSearchQuery(BaseModel):
    """Vector search query model"""
    query_vector: List[float]
    limit: Optional[int] = 10

# Define a Pydantic model for vector search results
class VectorSearchResult(BaseModel):
    """Vector search result model"""
    id: int
    vector:

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