International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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United States | Computer Science | Volume 14 Issue 5, May 2025 | Pages: 1391 - 1396


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

Mohit Thodupunuri

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.

Keywords: AI-driven knowledge graphs, enterprise search, data integration, generative AI, scalable architecture


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