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This research aims to enhance library operations and user experience by developing an AI-driven Q&A chatbot.

Developing a multimodal library intelligent Q&A chatbot using retrieval-augmented generation (RAG) technology

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Randomized trial assesses a multimodal Q&A chatbot for library efficiency, suggesting improved user interactions.

This research aims to enhance library operations and user experience by developing an AI-driven Q&A chatbot.
Developed Nana, a multimodal library chatbot using retrieval-augmented generation (RAG) technology.
Conducted performance evaluations comparing Nana to four other library chatbots using key metrics.
Optimized the chatbot's local document retrieval and summarization capabilities through thorough iteration.
Nana demonstrated exceptional performance in addressing common library queries and optimizing librarians' time.
Exhibited robust understanding in atypical scenarios, effectively handling diverse user inquiries.
Significantly improved user-friendliness through capabilities to process images and user-uploaded documents.

Lin et al. (2026) studied this question.

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