Prospects of Retrieval-Augmented Generation (RAG) for Academic Library Search and Retrieval.

This paper examines the integration of retrieval-augmented generation (RAG) systems within academic library environments, focusing on their potential to transform traditional search and retrieval mechanisms. RAG combines the natural language understanding capabilities of large language models with s...

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Detalles Bibliográficos

Publicado en:	Information Technology & Libraries Vol. 44; no. 2; pp. 1 - 16
Autores principales:	Kumar Bevara, Ravi Varma, Lund, Brady D., Mannuru, Nishith Reddy, Karedla, Sai Pranathi, Mohammed, Yara, Kolapudi, Sai Tulasi, Mannuru, Aashrith
Formato:	questions and answers tables/charts Journal Article
Publicado:	American Library Association Jun2025
Acceso en línea:	Ver este registro en EBSCOhost