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Introducing EmbeddingGemma: The Best-in-Class Open Model for On-Device Embeddings

Min Choi Product Manager Google DeepMind Sahil Dua Lead Research Engineer Google DeepMind We're excited to introduce EmbeddingGemma, a new open embedding model that delivers best-in-class performance for its size. Designed specifically for on-device AI, its highly efficient 308 million parameter design enables you to build applications using techniques such as Retrieval Augmented Generation (RAG) and semantic search that run directly on your hardware. It delivers private, high-quality embeddings...

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