Data retrieval and embeddings enhancements from MongoDB set the stage for a year of specialized AI - SiliconANGLE ...

By releasing the code behind its search and vector engine under the SSPL, MongoDB is giving self‑managed users new visibility ...

Dutch artificial intelligence database startup Weaviate B.V. is looking to streamline the data vectorization process with a new feature that automatically transforms unstructured information into ...

BOULDER, Colo., Nov. 17, 2023 — IronCore Labs, a leading provider of data protection solutions for cloud applications, today announced the launch of Cloaked AI, an SDK that protects vector embeddings ...

This expansion is fueled by the rapid adoption of AI, LLMs, and multimodal applications that require high-performance vector search, scalable indexing, and real-time retrieval. By offering, the ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

In the age of generative AI (genAI), vector databases are becoming increasingly important. They provide a critical capability for storing and retrieving high-dimensional vector representations, ...

Pembroke, MA - September 15: A bumblebee gathers nectar from a Mexican sunflower. (Photo by John Tlumacki/The Boston Globe via Getty Images) Databases are changing. They’re changing because they are ...

"Microsoft (US), Elastic (US), MongoDB (US), Google (US), AWS (US), Redis (US), Alibaba Cloud(US), DataStax (US), SingleStore (US), Pinecone (US), Zilliz (US), KX (US ...