Examples
Example notebooks on how to use Arize.
You can find all of our tutorials in our git repo below.
End to End Examples
Trace and evaluate an agent
Trace and evaluate a RAG app
LLM Tracing
Use our tracing integrations to automatically collect traces
Evaluations
Run code and LLM evaluations to measure performance
Run online evals in the Arize UI
Run offline evals in code
Evaluate code functionality
Evaluate hallucination
Evlauate human ground truth vs. AI
Evaluate Q&A correctness
Evaluate RAG
Evaluate reference links
Evaluate relevance
Evaluate SQL correctness
Evaluate tool calling
Evaluate toxicity
Evaluate user frustration
Handle errors with evals
Experiments
A/B test different iterations of your LLM application
Experiment with prompt changes (quickstart)
Experiment with summarization tasks
Experiment with model changes for RAG
Experiment with email text extraction
Experiment with text to SQL
Export from Phoenix to Arize
Load spans from Phoenix into the Arize platform | Colab Link
Guardrails
Ensure your production LLM applications output safe responses
Guardrail with RAG
Guardrails with Embeddings
ML & CV Cookbooks
For traditional machine learning and computer vision examples, click below.
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