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September 5, 2025International Journal of Biology and Life SciencesOpen Access

Design and Implementation of a Medical Question Answering System Based on Retrieval-Augmented Generation

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Authors

JNJian‐Yun NieXLXiaochun LiuYTYanan Tu

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Overview

This system employs retrieval-augmented generation to enhance accuracy in medical Q&A, indicating potential for improved patient support.

Key Points

  • The proposed system enhances accuracy in medical Q&A services.
  • It utilizes the MedChatZH dataset for data processing and model training.
  • Cosine similarity is employed in the retrieval layer for relevance selection.
  • ChatGLM3-6B generates context-aware responses to user queries.

Cite This Study

Nie et al. (2025) studied this question.

synapsesocial.com/papers/68bb3ef72b87ece8dc95792bhttps://doi.org/10.54097/4xqm5c93
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