GBC MedAI provides flexible deployment options, either directly using the source code deployment, or through the Docker containerized operation, the latter is more stable and convenient. The system adopts a strict front-end and back-end separation architecture design, the back-end provides a complete REST API, the front-end based on Vue3 independent development. This architecture allows developers to freely replace the front-end interface, or develop exclusive mobile applications based on the API, greatly enhancing the adaptability of the project.
This answer comes from the articleGBC MedAI: An Intelligent Medical Assistant with Access to Multiple AI Models and Search EnginesThe
May not be reproduced without permission:AI productivity tools " The project supports Docker containerized deployment and front-end and back-end separation development model
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