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```python
# AI Dev Tool: Edge AI-Powered Vector Search API
# =============================================
# This is 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 psycopg2.extras
import json

# Initialize the FastAPI app
app = FastAPI()

# Define the PostgreSQL connection settings
PG_HOST = "localhost"
PG_DATABASE = "vector_search"
PG_USER = "postgres"
PG_PASSWORD = "password"

# Define the Vector Search model
class VectorSearchModel(BaseModel):
    """Vector Search model"""
    query: str
    limit: Optional[int] = 10

# Define the Vector Search response model
class VectorSearchResponseModel(BaseModel):
    """Vector Search response model"""
    results: List[dict]

# Create a PostgreSQL connection pool
def get_pg_connection():
    """Get a PostgreSQL connection"""
    try:
        return psycopg2.connect(
            host=PG_HOST,
            database=PG_DATABASE,
            user=PG_USER,
            password=PG_PASSWORD
        )
    except psycopg2.Error as

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