This study introduces a Retrieval Augmented Generation(RAG)approach for Artificial Intelligence(AI)Q&A systems,addressing limitations in handling new or specialized information.Leveraging the LangChain framework and ChatGLM model,a specialized Q&A system for C language education was developed.This method integrates large language models with specific domain knowledge,enhancing accuracy and relevance in responses.The findings emphasize the feasibility and cost-effectiveness of creating tailored educational Q&A solutions.
RAGLangChainlarge language modelquestion-and-answer system
NETL
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