Debunking myths of vector search and LLMs with Leo Boytsov
About this episode
00:00 Intro
01:31 Leo's story
09:59 SPLADE: single model to solve both dense and sparse?
21:06 DeepImpact
29:58 NMSLIB: what are non-metric spaces
34:21 How HNSW and NMSLIB joined forces
41:11 Why FAISS did not choose NMSLIB's algorithm
43:36 Serendipity of discovery and the creation of industries
47:06 Vector Search: intellectually rewarding, professionally undervalued
52:37 Why RDBMS Still Struggles with Scalable Vector and Free-Text Search
1:00:16 Leo's recent favorite papers
- Leo Boytsov on LinkedIn: https://www.linkedin.com/in/leonidboytsov/ and X: https://x.com/srchvrs
- Leo Boytsov’s paper list: https://scholar.google.com/citations?hl=en&user=I79y2i4AAAAJ&view_op=list_works&sortby=pubdate
Lots of papers and other material from Leo: https://www.youtube.com/watch?v=gzWErcOXIKk
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