People are finding really creative ways to use EmbeddingGemma 2 beyond search.
Instead of running a full multimodal LLM, this community project trains a lightweight classifier on top of EmbeddingGemma 2 in real time.
Because the model is compact and natively multimodal, it can learn new categories on the fly and classify inputs locally in ~20ms for text and ~100ms for images.