Google EmbeddingGemma 2

EmbeddingGemma 2 is Google DeepMind's open, lightweight multimodal embedding model. It maps text, code, images, video, and audio into a single shared embedding space, enabling cross-modal search from one query. At 740M parameters it is designed to run on-device, with weights released under the Apache 2.0 license on Hugging Face and Kaggle.