The new dimension of AI: Vector Databases (Ep. 236)
Data Science at Home
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Vector Databases and Similarity Search
This chapter explores the concept of vector databases and how they are used for similarity search. It discusses techniques such as grouping, inverted indexing, and vector quantization, as well as the advantages of representing high dimensional vectors in lower dimensional spaces.
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