Rag Evaluation

RAG evaluation is a methodology used to assess the performance and effectiveness of Retrieval-Augmented Generation models, which combine information retrieval and text generation capabilities. As startups increasingly leverage these AI models to power applications such as chatbots, content generation, and question-answering systems, RAG evaluation provides a crucial framework for measuring their accuracy, relevance, and overall quality, helping developers refine and improve their models to deliver more reliable and informative outputs.