I am curious, how could one apply these insights to inference over sets of vectors generated by creating embeddings over things like photos etc? I understand we

I am curious, how could one apply these insights to inference over sets of vectors generated by creating embeddings over things like photos etc? I understand well the ideas of +/- for things like word2vec, but what would multiplication and inverse mean in this context?