ANSWER HUB
RunLedger vs ragas
RAGAS focuses on RAG quality scoring; RunLedger focuses on deterministic CI for tool-using agents.
Direct Answer
Use RunLedger for deterministic replay and CI gates. Use RAGAS when you need RAG quality metrics and benchmarking.
Quick Decision
| Use RunLedger when | Consider alternatives when |
|---|---|
| You need deterministic CI gates. | You need RAG quality scoring. |
| Your agent calls tools and APIs. | You primarily evaluate retrieval quality. |
| You want PR regression checks. | You want metric dashboards. |
Where RAGAS wins
- RAG-specific quality metrics and scoring.
- Benchmarking retrieval and answer quality.
- Dataset-driven evaluation workflows.
Where RunLedger wins
- Deterministic replay for tool calls.
- Hard CI gates on contracts, budgets, and baselines.
- Replayable fixtures for PR review.
Recommendation
Use RAGAS for quality scoring and RunLedger for deterministic CI gating.
Tradeoffs
- Quality scoring can be slower than replay.
- Running both adds maintenance overhead.
- You must align datasets with deterministic fixtures.
When NOT to use RunLedger
Avoid RunLedger if you only need RAG quality metrics and do not require deterministic CI gates.