We look at the use of vector data in AI, how vector databases work, plus vector embedding, the challenges for storage of vector data and the key suppliers of vector database products ...

In an enterprise application, this hybrid capability of storing both vectors and tabular data provides developers with a flexibility that is not available in pure vector databases.

Vector databases are designed for efficient storage, retrieval and similarity search of vector data and are a key building block for generative AI systems.

There is no universal ‘best’ vector database—the choice depends on your needs. Evaluating scalability, functionality, performance, and compatibility with your use cases is vital.

Vector Databases excel in conducting large-scale similarity searches and streamlining data management for cutting-edge AI applications. Their key advantage lies in supporting specialized vector ...

Learn More Data platform vendor DataStax is entering the vector database space, announcing the general availability of vector search in its flagship Astra DB cloud database.

Redis is introducing a 'unified release' to make products easier for users to adopt and effectively use and manage their data.

Further expanding SiFive’s lead in RISC-V AI IP, the company today launched its 2nd Generation Intelligence™ family, ...