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  "full_text": "LlamaIndex + RAGAs Cookbook 🧑‍🍳\n\nThe first step to building any advanced RAG application is defining quality metrics, and RAGAs (@Shahules786) is a popular framework to comprehensively evaluate a RAG app component-wise and e2e.\n\nMetrics: Context relevance/recall/precision, faithfulness/groundedness, answer relevance.\n\nCheck out this comprehensive article by Florian J. on how to setup a RAG pipeline with @llama_index and evaluate it on the set of metrics above.\n\nLink: https://t.co/ny2SUkxDG6",
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