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```python # AI Dev Tool: Edge-AI Powered Vector Search API Integration Wrapper # ===================================================================== # This is a production-ready API integration wrapper for PostgreSQL Vector Search Extension # using FastAPI, Pydantic v2, and Cloudflare Workers. It provides a robust and scalable # solution for building AI-native SaaS applications. from fastapi import FastAPI, HTTPException from pydantic import BaseModel from typing import List, Optional import psycopg2 import json from cloudflare import WorkersKV # Define the Vector Search API model class VectorSearchModel(BaseModel): """Vector Search API model""" query: str limit: Optional[int] = 10 # Define the PostgreSQL Vector Search Extension connection settings POSTGRESQL_HOST = "localhost" POSTGRESQL_PORT = 5432 POSTGRESQL_USER = "username" POSTGRESQL_PASSWORD = "password" POSTGRESQL_DB = "database" # Define the Cloudflare Workers KV namespace CLOUDFLARE_WORKERS_KV_NAMESPACE = "vector_search_namespace" # Create a FastAPI application instance app = FastAPI() # Create a PostgreSQL connection pool def create_postgresql_connection(): """Create a PostgreSQL connection pool""" try:
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