Evaluating Rag Solutions
Published 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 54 MB | Duration: 17m 15s
Implementing Retrieval-Augmented Generation (RAG) systems without proper evaluation methods can lead to unreliable outputs and missed optimization opportunities.
In this course, Evaluating RAG Solutions, you will learn essential techniques to thoroughly assess and improve RAG implementations through hands-on demos using Python and RAGAS. First, you will explore fundamental evaluation metrics for both retrieval and generation components. Next,
you will discover practical evaluation frameworks and tools to systematically measure RAG performance. Finally, you will learn how to interpret evaluation results and implement targeted improvements. When you are finished with this course, you will have the skills and knowledge of RAG
evaluation needed to build more accurate, reliable, and efficient RAG solutions.
Evaluating Rag Solutions
