What is the most efficient way to store images feature vector?

I'm working on project that needs to deal with images, I extract their feature vector instantly when any image uploaded then I store the feature vectors in MySQL database as text per each image.

Also I'm using django framework.

def search_images_by_features(query_image: ImageFieldFile, images):
    featured_images = [
        (calculate_similarity(load_features_from_str(image.features), get_image_feature(query_image)), image.item) for image in
        images if image.features is not None]
    ...

But looping on each image isn't a big deal as it takes more time as images increase.

Also my feature vector in database stored like that: 0.0010601664,0.0003533888,0.8969008,0.0014135552,...

Also is there a way to make MySQL database engine calculate similarity from feature vectors?