Inspect AI vs Ragas
A side-by-side comparison of Inspect AI and Ragas, two Eval tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
The honest brief
Inspect AI
Built by the UK AI Security Institute and adopted by Anthropic, DeepMind, METR, and Apollo as a shared eval framework; MIT.
- Adopted across major safety labs
- Composable datasets/solvers/scorers
- 200+ prebuilt evals (inspect_evals)
- Sandboxed tool + multi-turn agent runs
- MIT-licensed, provider-agnostic
- Python/code framework, not a UI product
- Steeper than no-code eval tools
- You wire up your own model keys
Ragas
Popularized reference-free RAG metrics — faithfulness, context precision — scored by an LLM judge, so you evaluate without gold answers.
- Faithfulness & relevancy metrics
- Knowledge-graph synthetic test sets
- LLM-as-judge scoring
- Integrates LangChain, LlamaIndex, CI
- LLM-judge scores add cost/variance
- Python library, no hosted UI
- Focused on RAG, narrower scope