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Today, we’re exploring another exciting topic RAGAS, a framework designed to evaluate #RetrievalAugmentedGeneration applications more effectively. As #RAG systems become increasingly common, having the right evaluation approach is critical. In this session, we walk through the fundamental concepts of #RAGAS and why it is needed to measure the performance, reliability, and quality of #GenerativeAI outputs in real-world use cases. If you’re working with #LLMs, #AIApplications, or building production-ready #AI systems, this video offers valuable insights into evaluating RAG the right way. #Carniq #AIEvaluation #MachineLearning #AIEngineering #FutureOfAI #TechInsights