Cookbooks
Example notebooks on how to use Arize.
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Example notebooks on how to use Arize.
Last updated
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You can find all of our tutorials in our git repo below.
Trace and evaluate an agent
Trace and evaluate a RAG app
Use our tracing integrations to automatically collect traces
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
A/B test different iterations of your LLM application
Experiment with prompt changes (quickstart)
Experiment with summarization tasks
Experiment with model changes
Experiment with email text extraction
Experiment with text to SQL
Experiment with a RAG app
Experiment with agents
Load spans from Phoenix into the Arize platform | Colab Link
Ensure your production LLM applications output safe responses
Guardrail with RAG
Guardrails with Embeddings
For traditional machine learning and computer vision examples, click below.
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