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

Developer Voices

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Implementing Semantic Search at Home with Weeviate

Learn how to implement semantic search at home using Weeviate and explore the open source demos available in the tutorials and examples repositories. Discover how newer modules like the multimodal image bind model are continuously integrated to enhance vectorizing data and improve search capabilities, with just 50 lines of code required to implement the multimodal search engine.

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