Google's Gemini Embedding 2 arrives with native multimodal support to cut costs and speed up your enterprise data stack

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Gemini Embedding 2 Supports Search Across 100+ Languages

Gemini Embedding 2 ships cross-modality retrieval with Matryoshka vectors, offering flexible dimensions for cost and accuracy tradeoffs.

Google unveils new multimodal Gemini Embedding 2 model

Google (GOOG) (GOOGL) on Tuesday unveiled its multimodal Gemini Embedding 2 artificial intelligence model, the tech giant's newest model that maps text, images, video, audio, and documents into a ...

Google Gemini Embedding 2 Supports Text, Images, Audio, PDFs & Short Videos

Google Gemini Embedding 2 unifies text, images, audio, PDFs, and video; it supports 3,072-dimension vectors, simplifying retrieval stacks.

Google rolls out Gemini Embedding 2 for multimodal AI applications

Google has released Gemini Embedding 2, a multimodal embedding model built on the Gemini architecture. The model expands beyond earlier text-only embedding systems by mapping text, images, videos, ...
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What is an embedding for AI?

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More When a question is presented to an artificial intelligence (AI) algorithm ...