Prospects of Retrieval-Augmented Generation (RAG) for Academic Library Search and Retrieval
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| Publicado no: | Information Technology and Libraries (Online) vol. 44, no. 2 (Jun 2025), p. 1-16 |
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| Autor principal: | |
| Outros Autores: | , , , , , |
| Publicado em: |
American Library Association
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| Acesso em linha: | Citation/Abstract Full Text Full Text - PDF |
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| 022 | |a 2163-5226 | ||
| 024 | 7 | |a 10.5860/ital.v44i2.17361 |2 doi | |
| 035 | |a 3225542476 | ||
| 045 | 2 | |b d20250601 |b d20250630 | |
| 084 | |a 169732 |2 nlm | ||
| 100 | 1 | |a Bevara, Ravi Varma Kumar |u University of North Texas | |
| 245 | 1 | |a Prospects of Retrieval-Augmented Generation (RAG) for Academic Library Search and Retrieval | |
| 260 | |b American Library Association |c Jun 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Libraries | ||
| 653 | |a Knowledge bases (artificial intelligence) | ||
| 653 | |a Computer architecture | ||
| 653 | |a Credibility | ||
| 653 | |a Library collections | ||
| 653 | |a User experience | ||
| 653 | |a Middleware | ||
| 653 | |a Large language models | ||
| 653 | |a Academic libraries | ||
| 653 | |a Searching | ||
| 653 | |a Retrieval | ||
| 653 | |a Real time | ||
| 653 | |a Ethics | ||
| 653 | |a Query processing | ||
| 653 | |a Information retrieval | ||
| 653 | |a Natural language | ||
| 653 | |a Transparency | ||
| 653 | |a Copyright | ||
| 653 | |a Databases | ||
| 653 | |a Conversation | ||
| 653 | |a Research | ||
| 653 | |a Infrastructure | ||
| 653 | |a Human-computer interaction | ||
| 653 | |a Cost analysis | ||
| 653 | |a Regulation | ||
| 653 | |a Semantic processing | ||
| 653 | |a Compliance | ||
| 653 | |a Privacy | ||
| 653 | |a Data processing | ||
| 653 | |a Interfaces | ||
| 653 | |a Integrated care | ||
| 653 | |a Indexing | ||
| 653 | |a Augmentation | ||
| 653 | |a Pipelines | ||
| 653 | |a Language modeling | ||
| 653 | |a Data integrity | ||
| 653 | |a Library Materials | ||
| 653 | |a Semantics | ||
| 653 | |a Copyrights | ||
| 653 | |a Research Needs | ||
| 653 | |a Architecture | ||
| 653 | |a Video Technology | ||
| 653 | |a Influence of Technology | ||
| 653 | |a Researchers | ||
| 653 | |a Library Services | ||
| 653 | |a Library Networks | ||
| 653 | |a Information Needs | ||
| 653 | |a Metadata | ||
| 653 | |a Feedback (Response) | ||
| 653 | |a Accuracy | ||
| 653 | |a Opportunities | ||
| 653 | |a Interdisciplinary Approach | ||
| 653 | |a Database Management Systems | ||
| 653 | |a Academic Standards | ||
| 653 | |a Educational Needs | ||
| 700 | 1 | |a Lund, Brady D |u University of North Texas | |
| 700 | 1 | |a Mannuru, Nishith Reddy |u University of North Texas | |
| 700 | 1 | |a Karedla, Sai Pranathi |u University of North Texas | |
| 700 | 1 | |a Mohammed, Yara |u University of North Texas | |
| 700 | 1 | |a Kolapudi, Sai Tulasi | |
| 700 | 1 | |a Mannuru, Aashrith | |
| 773 | 0 | |t Information Technology and Libraries (Online) |g vol. 44, no. 2 (Jun 2025), p. 1-16 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
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| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3225542476/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |