Oracle Database 23ai is a major milestone in Oracle’s database evolution, bringing AI centric features, richer search capabilities, and smarter performance optimizations directly into the core engine. One of the main areas where 23ai has improved is indexing , enabling faster, more flexible, and AI aware data access for both traditional and modern workloads. Key indexing improvements Native AI Vector Indexing for Semantic Search A major advancement in 23ai is the integration of AI vector search and specialized vector indexes directly within the database engine. Traditional B-tree indexes used for exact lookups, but they aren’t designed for similarity search, a backbone of many AI applications such as recommendation engines, semantic search, and retrieval-augmented generation (RAG). Oracle offers: Hierarchical Navigable Small World (HNSW) indexes Efficient for approximate nearest neighbor search at scale. Inverted File Flat (IVF-Flat) indexes Optimized for large dimensiona...
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