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LoRA-Tuned Multimodal RAG System for Technical Manual QA: A Case Study on Hyundai Staria

This study develops a domain-adaptive multimodal RAG (Retrieval-Augmented Generation) system to improve the accuracy and efficiency of technical question answering based on large-scale structured manuals. Using Hyundai Staria maintenance documents as a case study, we extracted text and images from P...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Yerin Nam, Hansun Choi, Jonggeun Choi, Hyukjin Kwon
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-07-01
Schriftenreihe:Applied Sciences
Schlagworte:
multimodal RAG
technical documentation
question-answering system
LoRA-based fine-tuning
domain adaptation
AI for structured manuals
Online-Zugang:https://www.mdpi.com/2076-3417/15/15/8387
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