Annual Conference of KIPS (한국정보처리학회:학술대회논문집)

  • 2024.05a
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  • Pages.753-756
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  • 2024
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  • 2005-0011(pISSN)
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  • 2671-7298(eISSN)
Korea Information Processing Society (한국정보처리학회)
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Enhancing Automated Report Generation: Integrating Rivet and RAG with Advanced Retrieval Techniques

  • Doo-Il Kwak (Dept. of AI Techno Convergence, Soongsil University) ;
  • Kwang-Young Park (Dept. of AI Techno Convergence, Soongsil University)
  • Published : 2024.05.23
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Abstract

This study integrates Rivet and Retrieved Augmented Generation (RAG) technologies to enhance automated report generation, addressing the challenges of large-scale data management. We introduce novel algorithms, such as Dynamic Data Synchronization and Contextual Compression, expected to improve report generation speed by 40% and accuracy by 25%. The application, demonstrated through a model corporate entity, "Company L," shows how such integrations can enhance business intelligence. Empirical validations planned will utilize metrics like precision, recall, and BLEU to substantiate the improvements, setting new benchmarks for the industry. This research highlights the potential of advanced technologies in transforming corporate data processes.

Keywords

Acknowledgement

This work was supported by Innovative Human Resource Development for Local Intellectualization program through the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (IITP-2024-RS-2022-00156360)

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