video1.0<iframe src="https://www.loom.com/embed/0db0e61d2dc1451b885d5d7d7491ed7a" frameborder="0" width="1152" height="864" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8641152Loomhttps://www.loom.com8641152https://cdn.loom.com/sessions/thumbnails/0db0e61d2dc1451b885d5d7d7491ed7a-00001.gif300.06In this walkthrough we use RAGAS to evaluate our RAG and we try out different embedding models and setup and advance retriever and compare results. Github Notebook: https://nbviewer.org/github/rajkstats/AIE2/blob/main/Week%204/Day%201/Evaluation_of_RAG_using_Ragas_Assignment_Notebook_RAJK.ipynb