Google debuts a new Gemini-based text embedding model

Google on Friday added a new, experimental “embedding” model for text, Gemini Embedding, to its Gemini developer API. Embedding models translate text inputs like words and phrases into numerical representations, known as embeddings, that capture the semantic meaning of the text. Embeddings are used in a range of applications, such as document retrieval and classification, in part because they can reduce costs while improving latency. Companies including Amazon, Cohere, and OpenAI offer embedding models through their respective APIs. Google had embedding models, as well, but Gemini Embedding is the company’s first trained using its Gemini family of AI models. “Trained on the Gemini model itself, this embedding model has inherited Gemini’s understanding of language and nuanced context making it applicable for a wide range of uses,” Google said in a blog post. “We’ve trained our model to be remarkably general, delivering exceptional performance across diverse domains, including finance ... Read full article.