Google has introduced EmbeddingGemma 2, an advanced multimodal embedding model designed to optimize device performance. This model effectively transforms complex data, such as text, images, and audio, ...

I have been compiling past articles exported from note into my own personal article database.It contains titles, full text, and summaries that briefly encapsulate the content of the articles.The other ...

Google has launched EmbeddingGemma 2, a compact multimodal embedding model that integrates text, images, audio, and video ...

AMSTERDAM – Weaviate has expanded the scope of its free cloud offering beyond managed vector storage, giving developers access to a free forever Weaviate Cloud database alongside hosted embeddings, ...

Vector databases store, index, filter, and search embeddings so applications can retrieve items by similarity at operational ...

Cohere has released Embed 5, a new family of embeddings models at the frontier of high-quality enterprise retrieval. Embed 5 ...

Google released EmbeddingGemma 2, an open model with 740 million parameters that converts text, images, video, audio, and ...

Elastic N.V. launched its Elasticsearch Vector Database, a serverless AI search product with 32x memory reduction targeting RAG and AI agent ...

Embedded Finance Index exposes the compliance gap behind recent bank-fintech failures; Updated quarterly, it’s the first public database that maps 6,000+ fintech and embedded finance companies across ...

Managed vector databases have become considerably easier to try without paying for infrastructure upfront. What began as ...

When you start learning about RAG, you encounter the term "vector database" quite early on.Create embeddings. Search for ...

Thenew model is built on the Gemma 4 architecture, released under the Apache 2.0 license, and can natively process text, ...