International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 72 | Issue 12 | Year 2024 | Article Id. IJCTT-V72I12P101 | DOI : https://doi.org/10.14445/22312803/IJCTT-V72I12P101

Vector Search

Gaurav Prabhakar

Received Revised Accepted Published
23 Oct 2024 16 Nov 2024 02 Dec 2024 18 Dec 2024

Citation :

Gaurav Prabhakar, "Vector Search," International Journal of Computer Trends and Technology (IJCTT), vol. 72, no. 12, pp. 1-7, 2024. Crossref, https://doi.org/10.14445/22312803/ IJCTT-V72I12P101

Abstract

This document critically articulates how vector and semantic search technologies transform information retrieval toward increased relevance and accuracy in the results. Vector search, unlike traditional keyword searches that try to target the exact word or phase, grasps contexts and the semantic meaning around queries. This very ability makes it formidable in various industries, from health to customer support and e-commerce. It captures the subtlety of language and manages unstructured data like no other technique ever has. Consequently, vector search brings a sea change in user experience and decision-making. Many of these technologies are still in development and will further shape the direction of data retrieval systems shortly.

Keywords

Vector search, Semantic search, Artificial Intelligence, Information retrieval, Machine learning, Data management.

References

[1] James Jie Pan, Jianguo Wang, and Guoliang Li, “Survey of Vector Database Management Systems,” The VLDB Journal, vol. 33, pp. 1591-1615, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Jianguo Wang et al., “Milvus: A Purpose-Built Vector Data Management System,” SIGMOD ‘21: Proceedings of the 2021 International Conference on Management of Data, Virtual Event, China, pp. 2614-2627, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[3] What is Vector Embedding? IBM, 2024. [Online]. Available: https://www.ibm.com/think/topics/vector-embedding
[4] Kinza Yasar, What are Vector Embeddings? Search Enterprise AI, TechTarget, 2024. [Online]. Available: https://www.techtarget.com/searchenterpriseai/definition/vector-embeddings
[5] Andrew Batutin, How Vectors in Machine Learning Supply AI Engines with Data, Shelf, 2024. [Online]. Available: https://shelf.io/blog/vectors-in-machine-learning/
[6] Evelyn Kent, What Is Vector Search? AI Search Blog, 2023. [Online]. Available: https://www.coveo.com/blog/what-is-vector-search/
[7] Inna Logunova, and Olga Bolgurtseva, Word2Vec: Why Do We Need Word Representations? Serokell, 2023. [Online]. Available: https://serokell.io/blog/word2vec