Design and Implementation of an Interactive Question-Answering System with Retrieval-Augmented Generation for Personalized Databases

This study introduces a novel approach to personalized information retrieval by integrating retrieval augmentation generation (RAG) with a personalized database system. Recent advancements in large language models (LLMs) have shown impressive text generation capabilities but face limitations in know...

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Autori principali:	Jaeyeon Byun, Bokyeong Kim, Kyung-Ae Cha, Eunhyung Lee
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-09-01
Serie:	Applied Sciences
Soggetti:	retrieval-augmented generation (RAG) GPT large language model (LLM) personalized knowledge database
Accesso online:	https://www.mdpi.com/2076-3417/14/17/7995
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