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Evidently AI

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Open-source framework for evaluating, testing, and monitoring LLMs, RAG applications, AI agents, and ML models

Añadido en:13 jul 2026
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Redes sociales y correo electrónico:
AI evaluationLLM testingRAG evaluationML monitoringopen sourceAI observability

Información de la herramienta

¿Qué es Evidently AI?

Evidently AI is an open-source framework designed to evaluate, test, and monitor the quality, safety, and reliability of AI systems. It covers LLMs, RAG applications, multi-agent workflows, and predictive ML models in a single unified toolkit, helping teams ensure AI is production-ready.

Características principales

  • Automated evaluation

    Systematically measure AI output quality, safety, and reliability. Run evals as part of a pipeline and explore results through shareable visual reports.

  • Synthetic data

    Create realistic, edge-case, or adversarial inputs tailored to a use case, from harmless prompts to hostile attacks.

  • Continuous monitoring

    Track evaluation results and ongoing quality checks with a live dashboard to catch drift, regressions, and emerging risks early.

  • Customizable metrics library

    Use 100+ built-in metrics or add custom ones by combining rules, classifiers, and LLM-based evaluations.

  • LLM evaluation and testing

    Evaluate LLM quality and safety covering adherence to guidelines and format, hallucinations and factuality, PII detection, retrieval quality and context relevance, sentiment, toxicity, tone, trigger words, and custom evals.

Casos de uso

  • #1

    LLM-powered systems evaluation

    Evaluate chatbots, RAG applications, AI agents, copilots, and other LLM-powered products with customizable templates.

  • #2

    Predictive ML systems evaluation

    Evaluate and monitor machine learning models with built-in metrics for predictive performance, data drift, and data quality.

Lo mejor para:AI teamsMLOps engineersData scientistsAI builders

Planes de precios

Fully open-source under Apache 2.0

Alternativas

Preguntas frecuentes

What is Evidently AI?
Evidently AI is an open-source framework for evaluating, testing, and monitoring the quality, safety, and reliability of AI systems including LLMs, RAG applications, multi-agent workflows, and predictive ML models.
Is Evidently AI free to use?
Yes. Evidently AI is fully open-source under the Apache 2.0 license.
What types of AI systems can I evaluate with Evidently AI?
You can evaluate LLM-powered systems such as chatbots, RAG applications, AI agents, and copilots, as well as predictive machine learning models for performance, data drift, and data quality.
Does Evidently AI support continuous monitoring?
Yes. It provides continuous monitoring with a live dashboard to track evaluation results, catch drift, regressions, and emerging risks early.
Can I create custom evaluation metrics?
Yes. Evidently AI offers a library of 100+ built-in metrics and lets you add custom ones by combining rules, classifiers, and LLM-based evaluations.
Where can I get support for Evidently AI?
Support is available through the community page at https://www.evidentlyai.com/community. You can also reach out via the contact page at https://www.evidentlyai.com/contact-us.

Evidently AI Contacto y redes sociales

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Información de la herramienta

Modelo de preciosOpen Source
CategoríaHerramientas de detección
Etiquetas
AI evaluationLLM testingRAG evaluationML monitoringopen sourceAI observability
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Última actualización16 jul 2026