Agentic AI: On Evaluations

The article discusses essential metrics for evaluating Retrieval-Augmented Generation (RAG) systems and AI agents, emphasizing the importance of measuring aspects such as retrieval accuracy, response relevance, and factual consistency. It also highlights various frameworks and tools that facilitate systematic assessment of these models, enabling developers to optimize performance and reliability in real-world applications.