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

Have you ever searched for something online, only to feel frustrated when the results didn’t quite match what you had in mind? Maybe you were looking for an image similar to one you had, or trying to ...

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

Couchbase on Tuesday launched a new version of its database platform, highlighted by improved vector indexing and retrieval capabilities aimed at making it faster to develop enterprise-grade AI ...

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

Experts from Datavail joined DBTA's webinar, Vector Databases: Innovating Data Management in the AI Era, to examine the nuances of vector databases and vector search, as well as its role for AI ...

The AI boom has launched numerous conversations on what's possible as more people grasp AI’s ability to transform the workplace, the economy and society at large. However, as the buzz around this ...

Companies across every industry increasingly understand that making data-driven decisions is a necessity to compete now, in the next five years, in the next 20 and beyond. Data growth — unstructured ...

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 ...

ScyllaDB on Tuesday launched vector search and storage capabilities in its X Cloud database platform. Vector search and storage are now fundamental to many AI pipelines because they enable enterprises ...