def retrieve(query_embedding, index, metadata, top_k=3):

    distances, indices = index.search(query_embedding, top_k)

    results = []

    for distance, idx in zip(distances[0], indices[0]):

        results.append({
            "text": metadata[idx]["text"],
            "source": metadata[idx]["filename"],
            "distance": float(distance)
        })

    return results