Improving Retrieval-Augmented Generation Performance Using the MAF-RAG Architecture, EVR–VOR Vector Retrieval, and Multi-Agent Fallback Reasoning

Retrieval-Augmented Generation (RAG) AI chatbots have gained popularity for their effectiveness in producing accurate, fast, and reliable responses; however, they have faced critical challenges stemming from limited datasets, outdated documents, and noisy, unfiltered data. This study proposes a Mult...

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Detalhes bibliográficos

Principais autores:	Erlanda Prasetio, L. Budi Handoko Handoko, Khafiiz Hastuti
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Politeknik Negeri Batam 2026-02-01
Colecção:	Journal of Applied Informatics and Computing
Assuntos:	llm multi-agent reasoning multi-phase retrieval rag architecture vector search
Acesso em linha:	https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/11738
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