Testing RAG pipelines and agents
Separate retrieval quality from generation quality, compute Recall@k, MRR and nDCG by hand, measure faithfulness and abstention, build a RAG test set, and evaluate agents by outcome, tool-call correctness and trajectory with repeated runs.
End-to-end accuracy hides where a pipeline breaks. A RAG system can fail because the retriever did not find the evidence, because the generator ignored it, or because the question could not be answered at all, and each needs a different fix. An agent can reach the right answer by a dangerous path or fail through a tiny argument error. This lesson shows how to test the parts separately and the whole honestly.
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