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Ragas / DeepEval metric suites
Automated faithfulness and retrieval metrics wired into CI for every RAG release.
TrialLLMOpsNew
- Why this ring
- Human spot-checks do not scale. Trial metric suites once you have a golden set of 20+ Q&A pairs.
- Production risk if ignored
- Silent retrieval regressions ship while demos still look fine on cherry-picked queries.
- EU AI Act relevance
- Supports accuracy monitoring and post-market performance tracking evidence.
- Typical effort
- weeks
- Medium FinOps impact
Use cases
- RAG product releases
- Chunking experiments
- Embedding model swaps
Adoption steps
- Freeze golden Q&A set
- Pick faithfulness + context precision thresholds
- Fail CI on regression
- Calibrate LLM-judge vs human labels monthly
Related tools
In your assessment
Eval metric coverage + CI gate policy