Oracle Announces General Availability of AI Vector Search in Oracle Database 23ai
Oracle News, Thursday, May 2nd, 2024
Oracle AI Vector Search is a novel capability that allows users to search data based on the semantics or meaning of data, in addition to by the values of data, such as attribute values or keywords, as databases have traditionally supported.
A vector, or vector embedding, is a popular data structure used in AI applications. A vector is a list of numbers, generated by deep learning models from diverse data types (e.g. images, documents, videos, etc.), that encodes the semantics of the data.
Oracle AI Vector Search allows you to generate, store, index, and query vector embeddings along with other business data, using the full power of SQL. As an example, for searching documents, vector search is often considered more effective than keyword-based search, as vector search is based on the meaning and context behind the words and not the actual words themselves.