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

How AI Is Built

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Advancements in Vector Search Technology

This chapter explores the integration of traditional retrieval methods with vector similarity searches, emphasizing the role of graph embeddings and machine learning in data accuracy and retrieval efficiency. It also examines challenges in segmenting large datasets and the potential of self-learning algorithms and reinforcement learning to optimize query responses.

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