Google Launches Gemini Embedding Model for Advanced Text Processing

Google Launches Gemini Embedding Model for Advanced Text Processing

Google on Friday added a new, experimental “embedding” model for text, Gemini Embedding, to its Gemini developer API. Image:Andrey Rudakov/Bloomberg / Getty Images 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 has offered embedding models before, but Gemini Embedding is its first trained on the 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 …