AppleAnalysisDevelopersNovember 5, 2026

Apple researchers train small neural nets to speed up RAG retrieval

Read original source →machinelearning.apple.com

Apple's ICML 2026 paper amortizes maximum inner product search by training small neural networks once, offline, for a fixed key database, learning how to route queries instead of comparing against millions of vectors. The method exploits the gap between short user queries and long curated keys that query-agnostic indexing methods ignore.

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