AI-Driven Knowledge Graphs for Enterprise Search - Enhancing Enterprise-Wide Search and Recommendations with AI

The paper addresses implementation challenges, such as data integration, scalability, and security considerations in enterprise environments. Finally, we explore emerging trends, such as generative AI and self-evolving knowledge graphs, that are shaping the future of enterprise search. By adopting AI-driven knowledge graphs, organizations can significantly enhance their internal search capabilities, enabling more efficient decision-making and collaboration.

Authors

Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2025-05-26
DOI
https://doi.org/10.21275/sr25521024520
Primary Topic
Advanced Graph Neural Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Driven Knowledge Graphs for Enterprise Search - Enhancing Enterprise-Wide Search and Recommendations with AI

Mohit Thodupunuri
International Journal of Science and Research (IJSR)
Advanced Graph Neural Networks
article

AI-Driven Knowledge Graphs for Enterprise Search - Enhancing Enterprise-Wide Search and Recommendations with AI

Mohit Thodupunuri
article en

Abstract

The paper addresses implementation challenges, such as data integration, scalability, and security considerations in enterprise environments. Finally, we explore emerging trends, such as generative AI and self-evolving knowledge graphs, that are shaping the future of enterprise search. By adopting AI-driven knowledge graphs, organizations can significantly enhance their internal search capabilities, enabling more efficient decision-making and collaboration.

International Journal of Science and Research (IJSR)
Openalex Percentile: Top 95%
Advanced Graph Neural Networks
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AI-Driven Knowledge Graphs for Enterprise Search - Enhancing Enterprise-Wide Search and Recommendations with AI — Mohit Thodupunuri · International Journal of Science and Research (IJSR) (2025) | TGRS Research Map | TGRS