Vector Search |
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| © 2024 by IJCTT Journal | ||
| Volume-72 Issue-12 |
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| Year of Publication : 2024 | ||
| Authors : Gaurav Prabhakar | ||
| DOI : 10.14445/22312803/IJCTT-V72I12P101 | ||
How to Cite?
Gaurav Prabhakar, "Vector Search," International Journal of Computer Trends and Technology, 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.
Reference
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