⚡ Live Sandbox: AI Dev Tool: AGENTSmd AINative SaaS (z8e3)

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```python
# AI Dev Tool: EdgeDB Vector Search API
# =======================================
# A production-ready API integration wrapper for PostgreSQL Vector Search Extension
# using FastAPI, Pydantic v2, and Hono Cloudflare Workers D1 Starter

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

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

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

# Initialize the FastAPI app
app = FastAPI()

# Initialize the PostgreSQL connection
conn = None

# Connect to the PostgreSQL database
def connect_to_db():
    """Connect to the PostgreSQL database"""
    global conn
    try:
        conn = psycopg2.connect(
            host="localhost",
            database="vector_search_db",
            user="vector_search_user",
            password="vector_search_password"
        )
    except psycopg2.Error as e:
        print(f"Error connecting to database: {e}")

# Define the

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