The RAG Evaluation with TruLens is a crucial step in the development of a robust and efficient question answering (QA) system. It involves evaluating the performance of a Retrieval-Augmented Generator (RAG) model using TruLens, a powerful tool for analyzing and visualizing the behavior of QA models.
RAG evaluation is a comprehensive framework for assessing the performance of Question Answering (QA) models. It provides a nuanced and multifaceted assessment of a model's ability to provide accurate and relevant answers to user queries. RAG evaluation is based on three key components: Relevance, Accuracy, and Groundedness.
Source: https://truera.com/ai-quality-education/generative-ai-rags/what-is-the-rag-triad/