embeddinggemma-2

EmbeddingGemma 2 is a 740M parameter multimodal embedding model from Google DeepMind that maps text (incl. code), images, video and audio, alone or interleaved, into a single 768-dimensional vector space, with task prompts and Matryoshka truncation to 512, 256 or 128 dimensions for search, retrieval, classification and clustering.