Evaluating RAG pipelines
Methodology and criteria for evaluating the performance of your RAG systems.
Request accessThis technical guide presents a complete methodology for evaluating the quality of a RAG pipeline (Retrieval-Augmented Generation). You will find the essential metrics: faithfulness to sources, document coverage, hallucination rate, latency and cost per query.
We detail a reproducible test protocol (test sets, automated evaluation, human review) and the open-source tools to implement it (RAGAS, DeepEval, LangSmith). Ideal for technical teams building or maintaining document-based AI assistants.
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