VECTOR EMBEDDINGS FOR ENHANCED EFFICIENCY IN FULL-TEXT SEARCH WITH ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Ivanouski A. VECTOR EMBEDDINGS FOR ENHANCED EFFICIENCY IN FULL-TEXT SEARCH WITH ARTIFICIAL INTELLIGENCE TECHNOLOGIES // Universum: технические науки : электрон. научн. журн. 2024. 12(129). URL: https://7universum.com/ru/tech/archive/item/18965

Authors

Andrei Ivanouski

Publication Details

Journal: Universum Technical sciences
Published: 2024-12-28
DOI: https://doi.org/10.32743/unitech.2024.129.12.18965
Primary Topic: Advanced Text Analysis Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

VECTOR EMBEDDINGS FOR ENHANCED EFFICIENCY IN FULL-TEXT SEARCH WITH ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Andrei Ivanouski

Dec 28, 2024

Universum Technical sciences

Advanced Text Analysis Techniques

article

VECTOR EMBEDDINGS FOR ENHANCED EFFICIENCY IN FULL-TEXT SEARCH WITH ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Andrei Ivanouski

December 28, 2024article en

Abstract

Universum Technical sciencesVol. 129(12)

Affordable and clean energy

Openalex Percentile: Top 76%

Advanced Text Analysis Techniques

DOI Open Access PDF OpenAlex

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VECTOR EMBEDDINGS FOR ENHANCED EFFICIENCY IN FULL-TEXT SEARCH WITH ARTIFICIAL INTELLIGENCE TECHNOLOGIES — Andrei Ivanouski · Universum Technical sciences (2024) | TGRS Research Map | TGRS