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

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 ...
dbta

Unraveling Vector Databases and Vector Search for AI Applications

The emergence of vector databases and vector search for handling massive quantities of complex data have radically transformed the way AI is implemented and managed. As a specialized approach for ...
TMCnet

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

According to GigaOm, vector databases deliver quantifiable operational improvements such as 40-60% enhancement in search relevance and a 30-50% reduction in infrastructure costs through consolidation ...