Keywords AI

Patronus AI vs Ragas

Compare Patronus AI and Ragas side by side. Both are tools in the Observability, Prompts & Evals category.

Quick Comparison

	Patronus AI	Ragas
Category	Observability, Prompts & Evals	Observability, Prompts & Evals
Pricing	Enterprise	Open Source
Best For	AI teams that need rigorous, automated quality evaluation and safety testing	Developers building RAG applications who need specialized evaluation metrics
Website	patronus.ai	ragas.io
Key Features	Automated LLM evaluation platform Hallucination detection RAG-specific evaluation metrics Red-teaming capabilities CI/CD integration	RAG-specific evaluation framework Component-wise metrics for RAG Synthetic test data generation LLM-as-judge evaluators Open-source Python library
Use Cases	Detecting hallucinations in production RAG quality evaluation Adversarial testing of LLM systems Continuous evaluation in CI/CD Model comparison and selection	Evaluating RAG pipeline quality end-to-end Measuring retrieval precision and recall Testing faithfulness and answer relevance Generating synthetic evaluation datasets Benchmarking RAG across configurations

When to Choose Patronus AI vs Ragas

Choose Patronus AI if you need

Detecting hallucinations in production
RAG quality evaluation
Adversarial testing of LLM systems

Pricing: Enterprise

Choose Ragas if you need

Evaluating RAG pipeline quality end-to-end
Measuring retrieval precision and recall
Testing faithfulness and answer relevance

Pricing: Open Source

About Patronus AI

Patronus AI provides automated evaluation and testing for LLM applications. The platform detects hallucinations, toxicity, data leakage, and other failure modes using specialized evaluator models. Patronus offers pre-built evaluators for common use cases and supports custom evaluation criteria, helping enterprises ensure AI safety and quality before and after deployment.

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About Ragas

Ragas is an open-source evaluation framework specifically designed for RAG (Retrieval-Augmented Generation) pipelines. It provides metrics for context precision, context recall, faithfulness, and answer relevancy, helping teams measure and improve the quality of their RAG systems. Ragas has become the standard evaluation toolkit for teams building production RAG applications.

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What is Observability, Prompts & Evals?

Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.

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