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RAG Retrieval Evaluation Workbook

Turn a small question-and-answer sample into recall, precision, faithfulness, and citation coverage checks before changing your model.

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RAG Top-k Evaluation Calculator

Compare retrieval recall and grounded-answer rates across top-k settings using labeled per-query evaluation rows.

RAG Citation Coverage Checker

Measure claim-level citation coverage and flag missing or unknown source IDs in a manually reviewed answer sample.

RAG Chunk and Overlap Calculator

Estimate chunk count, overlap token overhead, and approximate indexed tokens from corpus size and chunk settings.

From the guide archive

Related guides

AI EngineeringEvaluate RAG Retrieval Quality Before Changing the ModelWhen a RAG answer is wrong, a small retrieval evaluation set can tell you whether the problem is missing evidence, noisy context, or the answer layer.AI EngineeringRAG Chunking Is an Evaluation Question, Not a Magic NumberChunk size affects retrieval recall, context noise, and citation quality. Use an evaluation set to choose boundaries instead of copying a popular token count.