Crypto Briefing

Google releases EmbeddingGemma 2, a 740 million parameter open-weight model under Apache 2.0

Google releases EmbeddingGemma 2, a 740M parameter multimodal embedding model under Apache 2.0, built for on-device search on ...
MarkTechPost

Google DeepMind Releases EmbeddingGemma 2, a 740M Open Multimodal Embedding Model Built on Gemma 4

Google DeepMind's EmbeddingGemma 2 embeds text, code, images, video and audio in one 740M model for on-device RAG.
VentureBeat

New DeepMind study reveals a hidden bottleneck in vector search that breaks advanced RAG systems

Vector embeddings are the backbone of modern enterprise AI, powering everything from retrieval-augmented generation (RAG) to semantic search. But a new study from Google DeepMind reveals a fundamental ...
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 ...
Help Net Security

Vector embedding security gap exposes enterprise AI pipelines

Enterprise adoption of retrieval-augmented generation has moved sensitive corporate content into a new storage format that existing security tools cannot inspect. Companies deploying internal AI ...

Elastic Introduces Serverless Vector Database: Ship in Minutes, Scale Affordably to Hundreds of Billions of Vectors

Elastic (NYSE: ESTC) today announced Elasticsearch Vector Database, a new serverless offering purpose-built for large-scale vector search and AI applications. Elasticsearch is already one of the most ...