Google’s EmbeddingGemma 2 puts text, code, images, video, and audio in one vector space
Google announced EmbeddingGemma 2, an open 740-million-parameter model that handles text, code, images, video, and audio in one shared vector space. The design targets local search, retrieval-augmented generation, and media discovery without separate pipelines.










