Debunking myths of vector search and LLMs with Leo Boytsov
From Vector Podcast by Dmitry Kan
January 17, 2025 · 1h 8m · Season 3 · Episode 8
About this episode
In this episode, Leo Boytsov discusses various aspects of vector search and LLMs, including the technologies behind them and their implications in the industry.
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
People in this episode
Host: Dmitry Kan
Guest: Leo Boytsov
Topics covered
- vector search
- LLMs
- machine learning
- NMSLIB
- FAISS
- SPLADE
- deep learning
Keywords
- vector search
- LLMs
- NMSLIB
- FAISS
- SPLADE
- machine learning
- deep learning
- algorithm
- discovery
- search technology
Mentioned in this episode
Organizations: NMSLIB, FAISS, SPLADE, DeepImpact
Books & works: Leo Boytsov’s paper list, Serendipity of discovery and the creation of industries
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