{"version":"1.0","author_url":"https://blog.hatena.ne.jp/low_heavens/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftech.beatrust.com%2Fentry%2F2024%2F05%2F02%2FRAG_Evaluation%253A_Assessing_the_Usefulness_of_Ragas\" title=\"RAG Evaluation: Assessing the Usefulness of Ragas - Beatrust techBlog\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_url":"https://hatena.blog","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/y/yongtae-ai/20240408/20240408095900.png","blog_url":"https://tech.beatrust.com/","provider_name":"Hatena Blog","title":"RAG Evaluation: Assessing the Usefulness of Ragas","categories":["AI","Evaluation of AI","RAG","Ragas","LLM","ChatGPT","Generative AI"],"description":"Overview of this Part In the previous sections, we discussed the importance of evaluating RAG and introduced the calculation methods used in Ragas, a library for automated RAG evaluation. In this part, in order to examine the usefulness of Ragas, I (Hirokazu Suzuki) will quantitatively assess how cl\u2026","width":"100%","type":"rich","height":"190","author_name":"low_heavens","published":"2024-05-02 10:48:43","blog_title":"Beatrust techBlog","url":"https://tech.beatrust.com/entry/2024/05/02/RAG_Evaluation%3A_Assessing_the_Usefulness_of_Ragas"}