Showing results for SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search.
Nov 5, 2021 · In this paper, we present a simple but efficient memory-disk hybrid indexing and search system, named SPANN, that follows the inverted index methodology.
In this paper, we present a simple but efficient memory-disk hybrid indexing and search system, named SPANN, that follows the inverted index methodology. It.
Jun 10, 2024 · In this paper, we present a simple but efficient memory-disk hybrid indexing and search system, named SPANN, that follows the inverted index ...
Nov 3, 2024 · This would be exact NN search. Use approximate NN search when you have high volume of searches over millions of vectors.
Nov 9, 2021 · In this paper, we present a simple but efficient memory-disk hybrid indexing and search system, named SPANN, that follows the inverted index methodology.
Nov 19, 2021 · A simple but efficient memory-disk hybrid vector indexing and search system that guarantees both low latency and high recall and achieves a 2× speedup.
People also search for
Jun 8, 2022 · SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search introduces a simple and effective solution for hybrid ANN search.
[PDF] SPANN: Highly-efficient Billion-scale Approximate Nearest ...
openreview.net › references › pdf
To recall top one result on SIFT1M dataset, we find 80% of queries only need to search 6 posting lists, while 99% of queries need to search 114 posting lists. 3 ...
Nov 19, 2021 · The paper SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search is on arXiv. Author: Hecate He | Editor: Michael Sarazen.
Nov 5, 2021 · In this paper, we present a simple but efficient memory-disk hybrid indexing and search system, named SPANN, that follows the inverted index ...