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Nanjing Yunjin intelligent question-answering system based on knowledge graphs and retrieval augmented generation technology

A knowledge graph-based question-answering system for Nanjing Yunjin, a traditional Chinese silk weaving craft.

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Nanjing Yunjin intelligent question-answering system based on knowledge graphs and retrieval augmented generation technology

By Liang Xu, Lu Lu, Minglu Liu, Chengxuan Song, Lizhen WuHeritage Science
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This paper proposes a question-answering system that integrates knowledge graphs and retrieval augmented generation techniques. The system uses the ROBERTA model to vectorize textual information and the FAISS vector database for efficient storage and retrieval.

It aims to overcome limitations of knowledge graph-based systems in terms of updating and semantic understanding.

Abstract

This paper proposes a question-answering system that integrates knowledge graphs and retrieval augmented generation techniques. The system uses the ROBERTA model to vectorize textual information and the FAISS vector database for efficient storage and retrieval. It aims to overcome limitations of knowledge graph-based systems in terms of updating and semantic understanding.

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question-answering-systemnanjing-yunjinknowledge-graphstextual-informationvectorized-retrievalKnowledge GraphsLarge Language ModelsRetrieval & RAGSemantic Interoperability
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