Artificial Intelligence, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). New tools for accessing archival and bibliographic resources

Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems offer a new paradigm for querying and retrieving information, making the resource recovery processes more efficient and accurate due to their ability to learn and generate responses based on vast knowledge databases. This...

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Bibliographic Details
Published inBibliothecae.it Vol. 13; no. 1; pp. 146 - 173
Main Author Giorgia Di Marcantonio
Format Journal Article
LanguageEnglish
Published University of Bologna 01.07.2024
Subjects
archives
artificial intelligence (ai)
large language models (llms)
libraries
retrieval knowledge
retrieval-augmented generation (rag)
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Summary:Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems offer a new paradigm for querying and retrieving information, making the resource recovery processes more efficient and accurate due to their ability to learn and generate responses based on vast knowledge databases. This paper aims to demonstrate these systems in a simplified form to initiate a scientific discussion on the possibility of integrating these technologies into archival and bibliographic resource retrieval systems, and more broadly, into cultural heritage management.
ISSN:2280-7934
2283-9364
DOI:10.6092/issn.2283-9364/19982