According to @sundarpichai, Google introduced EmbeddingGemma as an open embedding model that can run completely on-device, targeting search and retrieval use cases. According to @sundarpichai, the model ranks as the top performer under 500M parameters on the MTEB benchmark and delivers performance comparable to models nearly twice its size. According to @sundarpichai, the model enables state-of-the-art embeddings for search, retrieval, and related tasks. According to the source, no details on pricing, availability, licensing, or crypto/blockchain integrations were provided in the announcement.