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Ragas

Open Source

About Ragas

Ragas provides tools for working with large language models.

Key Capabilities

  • ✓Automatic performance and robustness metrics for LLMs
  • ✓Synthetic generation of diverse evaluation datasets
  • ✓Online monitoring of LLM application quality in production
  • ✓Component-wise and end-to-end RAG system evaluation
  • ✓Integration with LangSmith and Weaviate for enhanced workflows

Integrations

LangSmithWeaviateLlamaIndex

Related Buyer Guides

Independent evaluation frameworks for this category.

AI Agent & Agentic AI Platforms
Compare LangGraph, CrewAI, Microsoft Agent Framework, OpenAI Agents SDK, Google ADK, AWS Bedrock AgentCore, LlamaIndex, and Temporal — where production operability, not the slickest multi-agent demo, is the deciding criterion.
AI Governance & Responsible AI
Evaluate IBM watsonx.governance, Credo AI, Microsoft Purview, ServiceNow, Holistic AI, Fiddler, Arthur, and Monitaur — and decide first whether your gap is governance and compliance or ML observability, because the EU AI Act and NIST AI RMF reward the platform wired into how models are built and run.
Computer Vision & Visual AI
Evaluate Google Vision/Vertex AI, AWS Rekognition, Azure AI Vision, Landing AI, Roboflow, Cognex, Encord, and Ultralytics — with the pretrained-API vs. custom-model and cloud vs. edge decisions, not a generic feature list, as the deciding criteria.

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Quick Facts

ragas.io
CategoryAI & ML Platforms
SubcategoryAI Governance & Safety
PricingOpen Source
DeploymentOpen Source
Target SizeEnterprise