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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Bibliographic Details

Published in:	Information Technology & Libraries Vol. 44; no. 2; pp. 1 - 16
Main Authors:	Kumar Bevara, Ravi Varma, Lund, Brady D., Mannuru, Nishith Reddy, Karedla, Sai Pranathi, Mohammed, Yara, Kolapudi, Sai Tulasi, Mannuru, Aashrith
Format:	questions and answers tables/charts Journal Article
Published:	American Library Association Jun2025
Online Access:	View this record in EBSCOhost