Vector Search

Vector Search is a computational method within the field of semantic search that represents data as high-dimensional vectors in a continuous embedding space to enable similarity matching based on geometric proximity rather than lexical overlap.

90

Publications

6.7K

Citations

277

Authors

131

Institutions

Publications per year

2017–2026

26

Authors

277

  1. HJ
    Hervé Jeǵou

    Institut national de recherche en sciences et technologies du numérique, France

    5 publications · 942 citations

    5

    h-index

  2. MD
    Matthijs Douze

    Institut national de recherche en sciences et technologies du numérique, France

    4 publications · 697 citations

    4

    h-index

  3. FB
    Florin Baboescu

    University of California San Diego, United States

    3 publications · 525 citations

    3

    h-index

  4. SH
    Stephen H. Bryant

    National Center for Biotechnology Information, United States

    3 publications · 384 citations

    3

    h-index

  5. GV
    George Varghese

    University of California San Diego, United States

    3 publications · 525 citations

    3

    h-index

1–5 of 277

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 127 citations

    4

    h-index

  2. IEEE Transactions on Communications

    4 publications · 567 citations

    4

    h-index

  3. Proceedings of the ACM on Management of Data

    4 publications · 159 citations

    3

    h-index

  4. 2

    h-index

  5. ACM SIGPLAN Notices

    2 publications · 78 citations

    2

    h-index

1–5