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Semantic Search: A Deep Dive Into Vector Databases (with Zain Hasan)

Developer Voices

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Optimizing Search in a Fictional Service

This chapter discusses the need for optimizing search in a fictional service that has gained 100 million users. It explores the challenge of retrieving the nearest objects to a product in real-time and explains the concept of approximate nearest neighbors. The chapter highlights the trade-off between accuracy and performance and discusses the algorithms that support this functionality.

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