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jmlr.org
| | erikbern.com

Approximate nearest neighbor search is very useful when you have a large dataset of millions of datapoints and you learn some kind of vector representation of these items. I built a benchmark suite called ann-benchmarks. It pits a number of algorithms in a brutal showdown.
2.4 parsecs

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| | 0x65.dev

Optimizing memory-usage for approximate nearest neighbor search
3.5 parsecs

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| | www.cs.ubc.ca


3.6 parsecs

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| | softwaredoug.com

A week of wector wevents - vector retrieval, hybrid search, combining the dense and lexical.
25.9 parsecs

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