AI databases

The AI Database Landscape in 2026 - Four architecturally distinct approaches [D]

An industry survey outlines four distinct architectural approaches for integrating AI into databases by 2026: vector, ML-in-database, LLM-augmented, and predictive databases. It details their inference mechanisms with diagrams and comparisons, also noting what the taxonomy excludes.