May 2026
Beginner to intermediate
354 pages
9h 12m
English
In this chapter, you will learn how Oracle Database 23ai supports scalable and governable AI and machine learning workloads by running data preparation, model execution, similarity search, and retrieval-augmented generation (RAG) directly inside the database. This matters because you often need to support AI workloads without increasing data movement, latency, and operational complexity. It focuses on two complementary layers: the database engine, which provides the foundation for high scalability and performance-oriented processing, and the in-database AI framework, which trains, deploys, and serves models without moving data to external systems.
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