Vector database pioneer is looking to dramatically improve enterprise AI accuracy with cascading retrieval innovations.

Learn More In 2014, a breakthrough at Google transformed how machines understand language: The self-attention model. This innovation allowed ... Just as GPS uses numbers to locate places, vector ...

DocumentDB has native vector database capabilities, and provides built-in security best practices, continuous backups, and integrations with other AWS services. This data modeling book will help you ...

Aerospike Inc., the real-time database built for infinite scale, speed, and savings, is debuting the latest version of Aerospike Vector Search, equipped with new indexing and storage capabilities.

Pinecone, a leading knowledge platform for building accurate and scalable AI applications, has announced the integration of ...

The deep neural network model of the axisymmetric vector nozzle is established according to the limited training data from the physical dynamic model and then used to predict the kinematics and ...

Atropos Health, a leader in translating clinical data into high-quality, personalized, real-world evidence (RWE) for care, today announced the availab ...

One of the three most popular vector database management systems on DB-Engines, Aerospike unlocks real-time semantic search across data, delivering consistent accuracy no matter the scale. It lets ...

Pronounced with its missing U & A as ‘quadrant’, Qdrant is bidding for recognition as one of the first technology vendors to offer a vector database in a managed hybrid cloud model.

Subscribe for free. Microsoft recently launched a public preview of native vector support for the Azure SQL Database. With this update, the database can now store and process vector embeddings ...