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

Developer Voices

CHAPTER

Multi Modality in Vector Search

This chapter discusses the concept of multi modality in vector search and explores the potential of models that can understand multiple modalities. It highlights the challenges of unifying vector spaces for different modalities and mentions specific multi-modal models like clip and image-bind. The chapter discusses the future of deep learning models that understand multiple modalities and the ability to scale up to millions or hundreds of millions of data types.

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