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#030 Vector Search at Scale, Why One Size Doesn't Fit All

How AI Is Built

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Optimizing Colbert Calculations for Large Scale Performance

This chapter explores how to enhance computational efficiency within the Colbert framework, especially regarding late interactions at scale. It discusses the necessity for a strong distributed system and various techniques like token pruning and embedding caching to improve performance.

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