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```python
# AI Dev Tool: Rust WebAssembly Edge Function with PostgreSQL Vector Search Extension
# ==============================================================================
# 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 sys
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from fastapi.requests import Request
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from rust_wasm import EdgeFunction

# Define the PostgreSQL database connection URL
DATABASE_URL = os.environ.get("DATABASE_URL")

# Create a PostgreSQL database engine
engine = create_engine(DATABASE_URL)

# Define the base class for declarative models
Base = declarative_base()

# Define the VectorSearch model
class VectorSearch(Base):
    __tablename__ = "vector_search"
    id = Column(Integer, primary_key=True)
    vector = Column(String)

# Create the VectorSearch table
Base.metadata.create_all(engine)

# Define the session maker for the database engine
Session = sessionmaker(bind=

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