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 ...
Dataquest

Google Gemini Embedding 2: Multimodal AI Model for Enterprise Search

Google has introduced Gemini Embedding 2, its latest multimodal AI model designed to process text, images, video, audio and documents in a unified vector space. AI has been changing swiftly to the non ...
Seeking Alpha

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 ...
Geeky Gadgets

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

Gemini Embedding 2 offers a unified framework for embedding and retrieving multimodal data, including text, images, audio, videos and documents, within a shared vector space. As explained by Sam ...
SiliconANGLE

Cohere releases Embed 4: a multimodal AI model designed for agentic search

Artificial intelligence startup Cohere Inc. today launched Embed 4, its latest AI model designed to provide embeddings for search and retrieval for AI applications such as assistants and agents.
InfoQ

Bridging Modalities: Multimodal RAG for Advanced Information Retrieval

Multimodal retrieval-augmented generation (RAG) enhances AI retrieval by integrating text, images, and structured data for deeper contextual understanding. A typical multimodal RAG pipeline consists ...
Digit

Google unveils Gemini Embedding 2, its first multimodal embedding model

Google has officially unveiled its first-ever multimodal embedding model, the Gemini Embedding 2. While AI started with being limited to text-only, with the help of Gemini Embedding 2, Google is ...