RAG Application, which we have begun using as an internal information assistant, had become increasingly difficult to navigate as the number of registered applications grew.
To address this issue, we explored how to select the most suitable large language models (LLMs) for different situations—taking into account various characteristics such as reasoning capability, answer accuracy, and cost—and proceeded with development accordingly.