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Debunking myths of vector search and LLMs with Leo Boytsov
Vector Podcast
Exploring Non-Metric Spaces in Vector Search
This chapter delves into the advantages of non-metric space libraries in vector search technologies, highlighting their ability to represent similarities more expressively than traditional metric-based methods. The discussion includes practical applications like maximum inner product search, which reevaluate conventional ideas about similarity in high-dimensional spaces.
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