Proceedings of the 2025 4th International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2025)

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Design of Medical Knowledge Question and Answer Information System Based on RAG

Authors
Tianxin Zheng1, *, Junhua Fu1
1School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China, 10081
*Corresponding author. Email: 3120221003@bit.edu.cn
Corresponding Author
Tianxin Zheng
Available Online 31 May 2025.
DOI
10.2991/978-94-6463-742-7_20How to use a DOI?
Keywords
RAG; Medical Knowledge Question and Answer; Retrieval Enhancement Generation; Artificial Intelligence; Large Model Technology
Abstract

Medical knowledge question and answer information system based on natural language interaction can not only improve the quality and efficiency of medical services, but also meet the growing demand for medical consultation. The purpose of this study is to design and implement a medical intelligent Question and answer system based on Retrieval-Augmented Generation (RAG) technology, which can handle many professional terms and complex medical concepts, while ensuring the accuracy and reliability of answers. The system architecture includes user interface module, question parsing module, knowledge retrieval module, answer generation module, knowledge base management module and log monitoring module. The system can construct a medical knowledge base through multi-modal input, and realize the RAG model based on the knowledge base to provide efficient and accurate knowledge services.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 4th International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2025)
Series
Advances in Intelligent Systems Research
Publication Date
31 May 2025
ISBN
978-94-6463-742-7
ISSN
1951-6851
DOI
10.2991/978-94-6463-742-7_20How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Tianxin Zheng
AU  - Junhua Fu
PY  - 2025
DA  - 2025/05/31
TI  - Design of Medical Knowledge Question and Answer Information System Based on RAG
BT  - Proceedings of the 2025 4th International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2025)
PB  - Atlantis Press
SP  - 175
EP  - 180
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-742-7_20
DO  - 10.2991/978-94-6463-742-7_20
ID  - Zheng2025
ER  -