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 ...
SiliconANGLE

Onehouse’s vector embeddings support aims to cut the cost of AI training

Onehouse Inc., a company that sells a data lakehouse based on Apache Hudi as a managed service, today said it has launched a vector embedding generator to automate embedding pipelines as a part of its ...
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 ...
dbta

StarTree Expands its Architecture to Accommodate Advanced AI Use Cases

StarTree, the cloud-based real-time analytics company, is unveiling its newfound support for Model Context Protocol (MCP) and vector embedding model hosting, driving its ability to power real-time ...

OpenSearch Named a Leader in GigaOm Radar for Vector Databases as Research Shows Hybrid Search Becomes Critical for AI

The OpenSearch Software Foundation, the neutral home for the OpenSearch Project, today announced OpenSearch was named a Leader and Fast Mover in the Innovation/Platform Play quadrant in the 2025 ...