Evidently AI
Open SourceOpen-source framework for evaluating, testing, and monitoring LLMs, RAG applications, AI agents, and ML models
Informações da ferramenta
O que é 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.
Recursos principais
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.
Planos de preços
Fully open-source under Apache 2.0
Alternativas
Perguntas frequentes
What is Evidently AI?
Is Evidently AI free to use?
What types of AI systems can I evaluate with Evidently AI?
Does Evidently AI support continuous monitoring?
Can I create custom evaluation metrics?
Where can I get support for Evidently AI?
Evidently AI Contato e mídias sociais
- Suporte
- Site:
- Twitter
- YouTube
- LinkedIn
- GitHub
- Discord
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