#text-embeddings

#text-embeddings

At its core, EmbeddingGemma serves as a text embedding model. It translates text, such as notes, emails, or documents, into specialized numerical codes called vectors. These vectors represent the meaning of the text in a high-dimensional space, allowing devices to grasp context rather than just matching keywords. This fundamental capability enables much more intelligent and helpful search, organization, and other AI functionalities, powering generative AI experiences directly on user hardware.

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