advancedSpring AI — Core, ChatClient & RAG
How do you evaluate a RAG pipeline? What metrics matter?
Retrieval metrics: Precision@k, Recall@k, MRR. Generation metrics: ROUGE, BLEU, METEOR against reference answers. RAG-specific: Faithfulness (is the answer grounded in the retrieved context?), Answer Relevance, Context Precision — tools like RAGAS, Arize, and LangSmith automate this.
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How do you evaluate a RAG pipeline? What metrics matter?