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Google debuts a new Gemini-based text embedding model
Google has added a new, experimental 'embedding' model for text, Gemini Embedding, to its Gemini developer API.
Embeddings are used in a range of applications, such as document retrieval and classification, in part because they can reduce costs while improving latency. “We’ve trained our model to be remarkably general, delivering exceptional performance across diverse domains, including finance, science, legal, search, and more.” Compared to text-embedding-004, Gemini Embedding can also accept larger chunks of text and code at once, and it supports double the number of languages (over 100).
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