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```python
# AI Dev Tool: Turbocharged Edge Function with Rust and PostgreSQL Vector Search
# ==============================================================================
# This code asset provides a production-ready developer boilerplate for building
# high-performance edge functions using Rust, WebAssembly, and PostgreSQL Vector Search.

import os
import json
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from typing import List, Optional
from psycopg2 import connect
from psycopg2.extras import DictCursor
from rust_wasm import EdgeFunction  # Importing Rust WebAssembly Edge Function

# Define the PostgreSQL connection parameters
POSTGRES_HOST = os.environ.get("POSTGRES_HOST", "localhost")
POSTGRES_PORT = os.environ.get("POSTGRES_PORT", 5432)
POSTGRES_USER = os.environ.get("POSTGRES_USER", "postgres")
POSTGRES_PASSWORD = os.environ.get("POSTGRES_PASSWORD", "postgres")
POSTGRES_DB = os.environ.get("POSTGRES_DB", "postgres")

# Define the FastAPI application
app = FastAPI()

# Define the Pydantic model for the edge function request
class EdgeFunctionRequest(BaseModel):
    """Request model for the edge function"""
    query: str
    vector: List[float

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