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Efficient Information Retrieval and Response Generation with Retrieval-Augmented Generation (RAG)

Wenyi Pi (Australian National University)

DOI: 10.59350/q2pq3-0fv85 (Computer Science)
License: CC BY

Abstract: How to efficiently retrieve information for different applications Author Wenyi Pi (ORCID: 0009-0002-2884-2771) This article aims to explore various ways in which Retrieval-Augmented Generation (RAG) can be utilised to retrieve information and generate responses effectively within the dialogue system. The rationale behind utilising RAG as well as potential ways in which it can be employed effectively will be covered.

Published on 26 Feb. 2024