Google DeepMind launches EmbeddingGemma 2, an open 740-million-parameter model for on-device multimodal search
EmbeddingGemma 2, built on Gemma 4 and released under the Apache 2.0 license, unifies text, code, images, video and audio in a single 768-dimension vector space, quadruples context to 8,192 tokens and gains 9.92 points on MTEB Code, with modular setups starting at 270 million parameters.