JSAI Technical Report, Type 2 SIG
Online ISSN : 2436-5556
Method for automatically generating knowledge graphs to utilizeinternal knowledge
Yuki FUKUDAKazuo NIREIMaiko ONISHISatoshi SEKINEYuji MATSUMOTOKouji KOZAKI
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RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

2025 Volume 2024 Issue SWO-064 Pages 05-

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Abstract

To reduce development time, we are creating a chatbot system using Retrieval-Augmented Generation (RAG) to handle specialized inquiries. Challenges include the unfamiliarity of Large Language Model (LLM) with specific terms and the handling of ambiguous queries. We propose using a knowledge graph to supplement terms with explanations, synonyms, and hierarchical concepts. We developed a method using LLM to construct knowledge graphs for RAG more efficiently, maintaining accuracy while significantly reducing processing time compared to traditional methods. This paper details the methods for automating synonym and hierarchical relationship estimation using LLM.

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