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Quickstarts
If you are new, start here.LLM quickstart
Evaluate the quality of text outputs.
ML quickstart
Test tabular data quality and data drift.
Tracing quickstart
Collect inputs and outputs from AI your app.
LLM Tutorials
End-to-end examples of specific workflows and use cases.LLM as a judge
How to create and evaluate an LLM judge against human labels.
RAG evaluation
A walkthrough of different RAG evaluation metrics.
LLM as a jury
Using multiple LLMs to evaluate the same output.
LLM evaluation methods
A walkthrough of different LLM evaluation methods. [CODE + VIDEO]
Descriptor cookbook
A walkthrough of different descriptors (deterministic, ML, etc.) a single notebook.
LLM judge prompt optimization (1)
Optimize a multi-class classifier using target labels.
LLM judge prompt optimization (2)
Optimize a binary classifier using target labels and free-form feedback.
ML tutorials
End-to-end examples of specific workflows and use cases.Metric cookbook
Various data/ML metrics: Regression, Classification, Data Quality, Data Drift.
Integrations
End-to-end examples of integrating Evidently with other tools and platforms.GitHub actions
Running Evidently evals as part of CI/CD workflow. Native GitHub action integration for regression testing.
Different LLM providers as judges
Examples of using different external evaluator LLMs as LLM judges: OpenAI, Gemini, Google Vertex, Mistral, Ollama.
Evidently + Grafana: LLM evals
Visualize Evidently LLM evaluation metrics with Grafana. (Postgres as a database).
Evidently+ Grafana: Data drift
Visualize Evidently data drift evaluations on a Grafana dashboard. (Postgres as a database).
Deployment
Evidently Open-source UI tutorial
How to create a workspace, project and run Reports.