4 ms·
FAISS is no longer close to SoTA: https://ann-benchmarks.com/index.html https://ann-benchmarks.com/index.html https://vector-index-bench.github.io/ https://vec
by Eridrus 2mo ago
FAISS is no longer close to SoTA:
https://ann-benchmarks.com/index.html https://ann-benchmarks.com/index.html
https://vector-index-bench.github.io/ https://vector-index-bench.github.io/
https://big-ann-benchmarks.com/neurips23.html https://big-ann-benchmarks.com/neurips23.html
- nl 2mo agoI think their point is the size/performance tradeoff rather than outright performance. The point of TurboQuant is the size savings, while still giving high accuracy. It's been a while, but I do recall some high-performing vector matching indexes being very large.
- ehsanu1 2mo agoSurprised that usearch isn't in any of these, it's pretty fast.