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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