Ragas
Framework for evaluating RAG pipelines with metrics related to retrieval and answer quality.
- Main use case
- Testing whether a RAG system retrieves useful context and generates faithful answers.
- Open source
- Open source
- Self-hosting
- Yes
- Cloud
- Partial / depends on edition
- Pricing note
- Verify hosted or commercial options from official source.
- Target users
- AI engineers, researchers, QA teams
Strengths
- RAG-specific evaluation vocabulary
- Useful for regression tests
- Open-source workflow
Limitations
- Metrics still need human review and task-specific interpretation
- Hosted features should be verified
How to evaluate this tool
- Test Ragas with a small representative corpus.
- Verify official documentation, pricing, licensing, and deployment options.
- Measure retrieval quality, latency, and operational complexity.
- Check whether the team can maintain ingestion, updates, logs, and evaluation.