Steve McDowell is chief analyst at NAND Research. Steve is a technologist with over 25 years of deep industry experience in a variety of strategy, engineering, and strategic marketing roles, all with the unifying theme of delivering innovative technologies into the enterprise infrastructure market.
In an era where artificial intelligence is reshaping industries, Oracle has once again positioned itself at the forefront of innovation with the release of Oracle Database 23ai.
AI Vector Search is one of the standout features, introducing a groundbreaking approach to data querying and analysis. This feature supports a new generation of AI models, particularly LLMs, that allow for generating and storing vector embeddings of various data types such as text, documents, images, videos, and sounds.
Further integrating with the current AI landscape, Oracle Database 23ai enhances its utility by providing seamless integration with large language models. This integration overcomes traditional LLM limitations, such as lack of context and organizational data specificity, by allowing the database to furnish relevant data that enriches the LLM's responses.
Oracle also delivers enhancements to SQL and the integration of Oracle APEX for rapid application development using JSON data. This aligns with modern web and mobile development standards, catering to the growing demand for flexible, efficient, and scalable application development frameworks.Oracle Database 23ai introduces new mission-critical features to ensure high availability, robust performance, and enhanced security when handling sensitive data across diverse industries.
For security, Oracle Database 23ai includes an in-database SQL Firewall. This feature protects against unauthorized SQL commands by monitoring and blocking potentially harmful activities, thereby preventing SQL injection attacks, common vectors for data breaches.
Oracle Database 23Ai Oracle Database AI RAG Vector Search Vector Database
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