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```python
# AI Dev Tool: Nvidia Hugging Face PostgreSQL Vector Search Boilerplate
# Description: Production-ready boilerplate for building AI-powered search applications
#              using Nvidia's Hugging Face acquisition, PostgreSQL Vector Search Extension,
#              and Rust WebAssembly Edge Function.

import os
import psycopg2
from psycopg2 import Error
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from typing import List, Optional
import rust_wasm

# Define the PostgreSQL connection parameters
POSTGRES_HOST = os.environ.get('POSTGRES_HOST')
POSTGRES_DB = os.environ.get('POSTGRES_DB')
POSTGRES_USER = os.environ.get('POSTGRES_USER')
POSTGRES_PASSWORD = os.environ.get('POSTGRES_PASSWORD')

# Define the Hugging Face model parameters
HUGGING_FACE_MODEL = os.environ.get('HUGGING_FACE_MODEL')
HUGGING_FACE_TOKEN = os.environ.get('HUGGING_FACE_TOKEN')

# Define the Rust WebAssembly Edge Function parameters
RUST_WASM_FUNCTION = os.environ.get('RUST_WASM_FUNCTION')

app = FastAPI()

# Define the search query request model
class SearchQuery(BaseModel):
    query: str
    limit: Optional

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