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RAGAS
Systematic evaluation for LLM applications
Apache-2.0
ABOUT
Traditional evaluation metrics don't capture what matters for LLM applications, and manual evaluation doesn't scale. Ragas solves this with LLM-driven metrics that measure faithfulness, answer relevancy, and context precision — combined with synthetic test data generation and experiment management — creating a continuous improvement loop that replaces subjective assessments with objective, reproducible evaluation workflows.
INSTALL
pip install ragasINTEGRATION GUIDE
1. Evaluate RAG system performance with component-wise and end-to-end metrics
2. Generate synthetic high-quality test datasets for comprehensive LLM evaluation
3. Compare and optimize prompt variations across different LLM configurations
4. Monitor LLM application quality in production with online evaluation and feedback loops
TAGS
ragevaluationllmmetricstestingmonitoringobservabilitysynthetic-data