
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.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.