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Ragas

An open-source framework designed to evaluate and monitor Retrieval-Augmented Generation (RAG) systems by providing automated metrics, synthetic test data generation, and online quality tracking.

Visit site Open source via category-scoutLast verified · 2026-07-25

AFIT Review

Accuracy: n/a
Privacy: n/a
Value: 5.0
Multilingual: n/a
Ease of use: 4.0
Scalability: n/a

Lab Verdict

Ragas is highly suitable for developers who need to measure the performance, faithfulness, and precision of RAG applications, offering easy integration with frameworks like LangChain and LlamaIndex. The main catch is the potential cost and latency associated with running LLM-assisted evaluations, and the lack of detail on enterprise-specific features in the basic package.

llm-judge · website review · 2026-07-25

Pricing

No pricing captured.

Capabilities

rag-evaluationllm-evaluationsynthetic-data-generation