As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

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 ...

MyScaleDB, the innovative SQL vector database, is to announce that it is now open-source. It utilizes SQL queries to accelerate vector search and processing ...

Oracle Corp. today is rolling out the latest version of its Exadata database-optimized computing platform, claiming 55% better performance on vector searches used in artificial intelligence model ...

MariaDB’s use of vector embedding is native and not an add-on capability, which simplifies management and allows for a seamless integration with existing SQL operations. In addition to vector search, ...

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...

Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable. Suppose you wanted to ...