Apple
RAG and search

Faster Retrieval for Better, More Efficient RAG

Our short summary of Apple’s engineering write-up. The full story, with all the detail, is on their blog.

Read the full write-up on machinelearning.apple.com (opens in a new tab)

Problem

Searching millions of document vectors was slow and costly, hurting response time for user questions.

Solution

Apple trained tiny neural networks offline to learn how typical queries map to the best document vectors, routing queries quickly to the right cluster for faster retrieval.

Want the architecture, code and numbers? They’re in the original post.

Read the full write-up on machinelearning.apple.com (opens in a new tab)

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