GBC MedAI's backend utilizes several advanced technologies to ensure high performance and scalability:
- FastAPI Asynchronous Framework: Serve as the core back-end framework to ensure efficient request processing capabilities
- Redis Semantic Cache: for improving response performance for repetitive queries and reducing the cost of AI model calls
- Advanced AI frameworkLangGraph and GraphRag technologies for building more complex AI processes and knowledge graph applications.
This combination of technologies allows the system to handle a large number of concurrent requests while maintaining fast response times. The modular architectural design also facilitates secondary development and functionality extensions for developers.
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 " What are the key technologies utilized in the back-end of GBC MedAI?
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