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In this article, we introduce the concepts of Retrieval-Augmented Generation (RAG) and TermRAG. RAG is a technique that combines the capabilities of generative language models with information-retrieval methods for more precise and reliable output. TermRAG is a specialized variant of RAG that leverages terminological resources during the retrieval process. We further discuss application scenarios of TermRAG in specialized communication and outline the current state of technical implementation options.

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Terminologie und Retrieval- Augmented Generation (TermRAG)

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Karolina Suchowolec,
  • Christian Lang

摘要

In this article, we introduce the concepts of Retrieval-Augmented Generation (RAG) and TermRAG. RAG is a technique that combines the capabilities of generative language models with information-retrieval methods for more precise and reliable output. TermRAG is a specialized variant of RAG that leverages terminological resources during the retrieval process. We further discuss application scenarios of TermRAG in specialized communication and outline the current state of technical implementation options.