⚡ Live Sandbox: AI Dev Tool: Norway Should Buy OpenAI

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```python
# AI Dev Tool: TurboQuant Vector Search Micro-SaaS
# Production Starter Boilerplate for FastAPI Pydantic v2

from fastapi import FastAPI, Depends, HTTPException
from pydantic import BaseModel
from typing import List, Optional
from turboquant import TurboQuant

app = FastAPI()

# Define the TurboQuant Vector Search Model
class VectorSearchModel(BaseModel):
    """TurboQuant Vector Search Model"""
    query: str
    top_k: int = 10

# Define the TurboQuant Vector Search Response Model
class VectorSearchResponseModel(BaseModel):
    """TurboQuant Vector Search Response Model"""
    results: List[str]

# Initialize the TurboQuant Vector Search Engine
tq = TurboQuant()

# Define the Vector Search Endpoint
@app.post("/vector_search", response_model=VectorSearchResponseModel)
async def vector_search(model: VectorSearchModel):
    """
    TurboQuant Vector Search Endpoint

Args:
    - model (VectorSearchModel): The vector search model

Returns:
    - VectorSearchResponseModel: The vector search response model
    """
    try:
        # Perform the vector search using TurboQuant
        results = tq.search(model.query, top_k=model.top_k

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