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

Google has launched Gemini Embedding 2, its first natively multimodal embedding model supporting text, images, video, audio, ...

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

By synthesizing information across these disparate apps and experiences, Gemini acts as an assistant capable of drafting, iterating, and perfecting complex, finished, professional-grade content in ...

Google introduces Gemini Embedding 2, its first multimodal embedding model designed to map text, images, audio, and video ...

Google said that its latest Gemini 3.1 Pro model brings stronger reasoning, improved coding skills and higher usage limits to ...

Google has officially rolled out its Gemini 2.5 Flash engine to developers worldwide, marking a significant step in its AI push. The model, which has already been making rounds on social media for the ...

Lite, its fastest and most cost-efficient AI model, at $0.25 per million tokens and 2.5x faster than Gemini 2.5 Flash.

Google took the wraps off its latest AI model, Gemini 3.1 Pro, on Thursday, calling it a "step forward in core reasoning." ...