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 ...
MobiGyaan

Google unveils Gemini Embedding 2 with Multimodal Input Support and MRL technology

Google has announced Gemini Embedding 2, a new multimodal embedding model built on the Gemini architecture. The model is designed to process multiple types of ...
VentureBeat

Cohere launches Embed V3 for enterprise LLM applications

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Toronto-based AI startup Cohere has launched Embed V3, the latest ...

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, ...

Google unveils Gemini Embedding 2, its first multimodal embedding model

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

Weaviate Introduces Vector Embedding Service

Weaviate is launching its latest SaaS service, Weaviate Embeddings, to bring freedom and flexibility to a crucial area of AI development: data vectorization. According to the company, Weaviate ...