Google has added Gemini Embedding to its Gemini developer API. This new experimental model for text translates words, phrases and other text inputs into numerical representations, otherwise known as embeddings, which capture their semantic meaning. Embeddings are used in a wide range of applications including document retrieval and classification, potentially reducing costs and improving latency. Google is also testing an expansion of its AI Overviews search feature as part of a Gemini 2.0 update. Called AI Mode, it helps explain complex topics by generating search results that use advanced reasoning and thinking capabilities. Continue reading Google Updates AI Search and Intros Gemini Text Embedding