Foundations of Vector Retrieval
A monograph devoted to the theoretical foundations of nearest neighbor search, with a discussion of key data structures and algorithms from this vast literature.
When teaching a graduate course on retrieval algorithms, it occurred to me that there was no single resource that covered the foundations of vector retrieval or a treatise that dealt with the fascinating literature on nearest neighbor search and all the beautiful theory behind it.
So I decided to write one, particularly geared towards graduate students, with an emphasis on the theoretical foundations of the field. I hope “Foundations of Vector Retrieval” proves a helpful reference, one that makes it a bit easier for you to pick up this topic, navigate the literature, continue this research, and make new discoveries!
I have made a copy freely available on arXiv.
If you prefer a hard copy, you can read it as
paperback.
You can cite the work using the following bibtex entry:
@book{Bruch_2024,
title={Foundations of Vector Retrieval},
ISBN={9783031551826},
publisher={Springer Nature Switzerland},
author={Bruch, Sebastian},
year={2024}
}