Prompt
What should I use to observe RAG retrieval quality and citation accuracy?
Latest observation
Oct 2, 2026
OpenAI APIWeb search: off
To observe RAG retrieval quality and citation accuracy, you usually want both offline evaluation and live monitoring.
Best things to use
1. Retrieval evaluation metrics
These help you measure whether the right chunks/documents are being found.
Common ones:
- Recall@K — did the correct source appear in the top K?
- Precision@K — how many of the retrieved chunks were actually relevant?
- MRR (Mean Reciprocal Rank) — how high was the first relevant result?
- nDCG@K — rewards relevant results appearing higher in the ranking
Good if you have a labeled set of questions with known relevant documents.
2. Citation accuracy / attribution checks
These tell you whether the answer is actually supported by the cited sources.
Useful approaches:
- Citation precision — cited sources truly support the claim
- Citation recall — important claims are supported by citations
- Groundedness / faithfulness — answer content is entailed by retrieved context
- Attribution audits — sample outputs and manually verify citations
3. RAG-specific observability tools
If you want a practical product/tooling layer, look at:
- LangSmith — tracing, evals, dataset-based testing
- Ragas — RAG evaluation metrics like faithfulness, answer relevance, context recall/precision
- TruLens — groundedness, context relevance, feedback functions
- Arize Phoenix — retrieval and generation observability, evals, tracing
- DeepEval — automated LLM/RAG testing
- OpenTelemetry + dashboards — for production tracing and metrics
A good setup in practice
A solid stack is:
- Offline benchmark: Recall@K / MRR / nDCG on a labeled set
- Generation eval: faithfulness + answer relevance
- Citation audit: sample-based human review or automated support checks
- Production monitoring: tracing + drift + latency + error rates
If you want the shortest recommendation
Use:
- Ragas for RAG quality metrics
- LangSmith or Phoenix for tracing and observability
- plus a small human citation audit loop for accuracy
If you want, I can also suggest a minimal metric set for a production RAG system or show how to measure citation correctness automatically.