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#022 The Limits of Embeddings, Out-of-Domain Data, Long Context, Finetuning (and How We're Fixing It)

How AI Is Built

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Challenges in Large-Scale Vector Search

This chapter addresses the difficulties of vector search in massive datasets and the technological limitations of current indexing methods. It discusses innovative approaches and techniques necessary for efficiently managing and scaling vector search for extensive data volumes.

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