Learned Indexing in Vector Database Management Systems – Bc. Jakub Žovák
Bc. Jakub Žovák
Master's thesis
Learned Indexing in Vector Database Management Systems
Learned Indexing in Vector Database Management Systems
Abstract:
Neštruktúrované alebo zložité údaje tvoria väčšinu obsahu a informácií online. Mnohé aplikácie, ako sú odporúčacie systémy, vyhľadávače a chatboti, sa spoliehajú na tento typ údajov. Preto je potrebné mať špeciálne softvérové riešenia, ktoré dokážu spravovať, indexovať a vyhľadávať neštruktúrovaný obsah. Nedávno bolo vyvinutých mnoho vector database management systems (VDBMS), aby riešili túto potrebu …moreAbstract:
Unstructured or complex data make up the majority of content and information online. Many applications, such as recommenders, search engines, and chatbots, rely on this type of data. Therefore, there is a need for dedicated software solutions that can manage, index, and search unstructured content. Recently, many vector database management systems (VDBMS) have been developed to address this need. These …more
Language used: English
Date on which the thesis was submitted / produced: 21. 5. 2024
Identifier:
https://is.muni.cz/th/hsfz1/
Thesis defence
- Date of defence: 18. 6. 2024
- Supervisor: RNDr. Matej Antol, Ph.D.
- Reader: Mgr. David Procházka
Citation record
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Artificial intelligence and data processing / Big data
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