Research on campus question answering system supported by retrieval-augmented generation technology
To solve the problem of obtaining effective information from the vast amount of campus information for teachers and students, an intelligent campus question answering (QA) system based on RAG was designed. An approach that integrates large language models and domain knowledge for QA system construct...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Chinês |
| Pubblicazione: |
Editorial Department of Journal on Communications
2024-11-01
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| Serie: | Tongxin xuebao |
| Soggetti: | |
| Accesso online: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2024259 |
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