Oracle Introduces Integrated Vector Database To Augment Generative AI And Dramatically Increase Developer Productivit
Oracle News, Tuesday, September 19,2023
New AI vector similarity search in Oracle Database 23c allows the combination of search on semantic and business data resulting in highly accurate answers quickly and securely
Oracle today announced its plans to add semantic search capabilities using AI vectors to Oracle Database 23c. The collection of features, called AI Vector Search, includes a new vector data type, vector indexes, and vector search SQL operators that enable the Oracle Database to store the semantic content of documents, images, and other unstructured data as vectors, and use these to run fast similarity queries. These new capabilities also support Retrieval Augmented Generation (RAG), a breakthrough generative AI technique that combines large language models (LLMs) and private business data to deliver responses to natural language questions. RAG provides higher accuracy and avoids having to expose private data by including it in the LLM training data.