Intelligenza artificiale, Large Language Models (LLMs) e Retrieval-Augmented Generation (RAG). Nuovi strumenti per l’accesso alle risorse archivistiche e bibliografiche

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.