DataStax announced the availability of vector search capabilities in DataStax Enterprise (DSE), the on-premises database built on the open-source Apache Cassandra. This enables any enterprise to build ...

Actian Corp. has added support for Apache Spark to its hybrid data management, analytics and integration platform. Actian Vector in Hadoop, known as VectorH, uses vector processing and multi-level ...

“To unlock the potential of data and AI, especially large language models (LLMs), teams need a way to monitor, alert to, and resolve data quality issues in both real-time streaming pipelines powered ...

DataStax, the well-funded Apache Cassandra-centric database company, is placing a lot of its current bets on AI and its technology’s ability to provide highly scalable vector search capabilities to ...

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

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...

A Scalable Vector Database, a cutting-edge solution, is meticulously designed to efficiently manage high-dimensional vector data. Unlike traditional databases that handle data types such as strings ...

In today’s data-driven world, the exponential growth of unstructured data is a phenomenon that demands our attention. The rise of generative AI and large language models (LLMs) has added even more ...