The Architect’s Guide to Oracle AI Vector Search: DML & Indexing Strategy By: Rana Abdul Wahid Executive Summary As Generative AI moves from prototype to production, the bottleneck is often the efficient management of high-dimensional vector data. Oracle Database 23ai introduces native AI Vector Search , allowing organizations to manage embeddings with the same ACID-compliant rigor as traditional relational data. This article provides a technical blueprint for performing DML (Data Manipulation Language) operations and selecting the optimal indexing strategy HNSW vs. IVF to balance search precision with system performance.     I. Data Foundation: The VECTOR Data Type Oracle treats vectors as a native data type. This ensures that your embeddings are stored alongside your business metadata, eliminating the need for external specialized vector databases. Schema Definition SQL CREATE TABLE corporate_knowledge_base (     doc_id ...