Using LLM embedding cosine similarity to classify products into larger categories (bricks) wasn’t something I would’ve thought of. Last I heard of word vectors was back when word2vec came out, I guess in the back of my mind I knew LLMs have something similar and it makes sense that open weight models reveal that information easily.