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

The semantic search capabilities added to the database offering include a new vector data type, vector indexes, and vector search SQL operators. Oracle is planning to add vector search capabilities to ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data platform vendor DataStax is entering the vector database space, ...

ScyllaDB Vector Search is built on ScyllaDB’s shard-per-core architecture with a Rust-based extension that leverages the USearch approximate-nearest-neighbor (ANN) search library. The architecture ...

The emergence of vector databases and vector search for handling massive quantities of complex data have radically transformed the way AI is implemented and managed. As a specialized approach for ...

As we have noted before, vector databases aren’t new even though people talk about them that way, and in fact can trace their origins back a few decades. Exactly when depends on who you ask, but their ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The race to develop the best search engine technology heated up again ...

High-performance open-source vector database Qdrant has added new enterprise-level security and management tools to its cloud offering, allowing companies to deploy and scale up artificial ...

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 ...

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 ...