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

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Titel: Prospects of Retrieval-Augmented Generation (RAG) for Academic Library Search and Retrieval.
Autoren: Kumar Bevara, Ravi Varma1 ravivarmakumarbevara@my.unt.edu, Lund, Brady D.2 brady.lund@unt.edu, Mannuru, Nishith Reddy1 nishithreddymannuru@my.unt.edu, Karedla, Sai Pranathi3 saipranathikaredla@my.unt.edu, Mohammed, Yara4 yara.mohammed@unt.edu, Kolapudi, Sai Tulasi3 saikolapudi@my.unt.edu, Mannuru, Aashrith5 arm210018@utdallas.edu
Quelle: Information Technology & Libraries. Jun2025, Vol. 44 Issue 2, p1-15. 15p.
Schlagwörter: *Database searching, *Academic libraries, *Information technology, *Natural language processing, *Information retrieval, *Library public services, *Digital libraries, Generative artificial intelligence, Interprofessional relations
Abstract: 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 structured retrieval from verified knowledge bases, offering a novel approach to academic information discovery. The study analyzes the technical requirements for implementing RAG in library systems, including embedding pipelines, vector databases, and middleware architecture for integration with existing library infrastructure. We explore how RAG systems can enhance search precision through semantic indexing, real-time query processing, and contextual understanding while maintaining compliance with data privacy and copyright regulations. The research highlights RAG's ability to improve user experience through personalized research assistance, conversational interfaces, and multimodal content integration. Critical considerations including ethical implications, copyright compliance, and system transparency are addressed. Our findings indicate that while RAG presents significant opportunities for advancing academic library services, successful implementation requires careful attention to technical architecture, data protection, and user trust. The study concludes that RAG integration holds promise for revolutionizing academic library services while emphasizing the need for continued research in areas of scalability, ethical compliance, and cost-effective implementation. [ABSTRACT FROM AUTHOR]
Datenbank: Library, Information Science & Technology Abstracts
Beschreibung
Abstract: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 structured retrieval from verified knowledge bases, offering a novel approach to academic information discovery. The study analyzes the technical requirements for implementing RAG in library systems, including embedding pipelines, vector databases, and middleware architecture for integration with existing library infrastructure. We explore how RAG systems can enhance search precision through semantic indexing, real-time query processing, and contextual understanding while maintaining compliance with data privacy and copyright regulations. The research highlights RAG's ability to improve user experience through personalized research assistance, conversational interfaces, and multimodal content integration. Critical considerations including ethical implications, copyright compliance, and system transparency are addressed. Our findings indicate that while RAG presents significant opportunities for advancing academic library services, successful implementation requires careful attention to technical architecture, data protection, and user trust. The study concludes that RAG integration holds promise for revolutionizing academic library services while emphasizing the need for continued research in areas of scalability, ethical compliance, and cost-effective implementation. [ABSTRACT FROM AUTHOR]
ISSN:07309295
DOI:10.5860/ital.v44i2.17361