Ragas
Open-sourceAutomated evaluation framework for LLM applications and RAG systems with comprehensive quality metrics.
About Ragas
Ragas is an open-source evaluation framework for LLM applications and RAG systems. It provides automated testing with comprehensive quality metrics including faithfulness, relevance, and context utilization, with 13.6k GitHub stars.
Best For
- Teams evaluating RAG system quality systematically
- Organizations implementing AI quality assurance processes
Pros & Cons
Pros
- + Purpose-built for RAG system evaluation with domain-specific metrics
- + Automated testing reduces manual quality assessment effort
- + Active community with regular metric additions
Cons
- - Evaluation quality depends on reference data availability
- - Some metrics require additional LLM API calls
Pricing
Open source and free to use
Key Features
- Automated evaluation metrics for RAG system quality
- Comprehensive testing for faithfulness, relevance, and coherence
- Python implementation for easy integration into CI/CD pipelines
- Open source with 13.6k GitHub stars
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