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  • Arize Phoenix
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  • Phoenix Demo
  • 🔭Tracing
    • Overview: Tracing
    • Quickstart: Tracing
      • Quickstart: Tracing (Python)
      • Quickstart: Tracing (TS)
    • Features: Tracing
      • Projects
      • Annotations
      • Sessions
    • Integrations: Tracing
    • How-to: Tracing
      • Setup Tracing
        • Setup using Phoenix OTEL
        • Setup using base OTEL
        • Using Phoenix Decorators
        • Setup Tracing (TS)
        • Setup Projects
        • Setup Sessions
      • Add Metadata
        • Add Attributes, Metadata, Users
        • Instrument Prompt Templates and Prompt Variables
      • Annotate Traces
        • Annotating in the UI
        • Annotating via the Client
        • Running Evals on Traces
        • Log Evaluation Results
      • Importing & Exporting Traces
        • Import Existing Traces
        • Export Data & Query Spans
        • Exporting Annotated Spans
      • Advanced
        • Mask Span Attributes
        • Suppress Tracing
        • Filter Spans to Export
        • Capture Multimodal Traces
    • Concepts: Tracing
      • How Tracing Works
      • What are Traces
      • Concepts: Annotations
      • FAQs: Tracing
  • 📃Prompt Engineering
    • Overview: Prompts
      • Prompt Management
      • Prompt Playground
      • Span Replay
      • Prompts in Code
    • Quickstart: Prompts
      • Quickstart: Prompts (UI)
      • Quickstart: Prompts (Python)
      • Quickstart: Prompts (TS)
    • How to: Prompts
      • Configure AI Providers
      • Using the Playground
      • Create a prompt
      • Test a prompt
      • Tag a prompt
      • Using a prompt
    • Concepts: Prompts
  • 🗄️Datasets & Experiments
    • Overview: Datasets & Experiments
    • Quickstart: Datasets & Experiments
    • How-to: Datasets
      • Creating Datasets
      • Exporting Datasets
    • Concepts: Datasets
    • How-to: Experiments
      • Run Experiments
      • Using Evaluators
  • 🧠Evaluation
    • Overview: Evals
      • Agent Evaluation
    • Quickstart: Evals
    • How to: Evals
      • Pre-Built Evals
        • Hallucinations
        • Q&A on Retrieved Data
        • Retrieval (RAG) Relevance
        • Summarization
        • Code Generation
        • Toxicity
        • AI vs Human (Groundtruth)
        • Reference (citation) Link
        • User Frustration
        • SQL Generation Eval
        • Agent Function Calling Eval
        • Agent Path Convergence
        • Agent Planning
        • Agent Reflection
        • Audio Emotion Detection
      • Eval Models
      • Build an Eval
      • Build a Multimodal Eval
      • Online Evals
      • Evals API Reference
    • Concepts: Evals
      • LLM as a Judge
      • Eval Data Types
      • Evals With Explanations
      • Evaluators
      • Custom Task Evaluation
  • 🔍Retrieval
    • Overview: Retrieval
    • Quickstart: Retrieval
    • Concepts: Retrieval
      • Retrieval with Embeddings
      • Benchmarking Retrieval
      • Retrieval Evals on Document Chunks
  • 🌌inferences
    • Quickstart: Inferences
    • How-to: Inferences
      • Import Your Data
        • Prompt and Response (LLM)
        • Retrieval (RAG)
        • Corpus Data
      • Export Data
      • Generate Embeddings
      • Manage the App
      • Use Example Inferences
    • Concepts: Inferences
    • API: Inferences
    • Use-Cases: Inferences
      • Embeddings Analysis
  • ⚙️Settings
    • Access Control (RBAC)
    • API Keys
    • Data Retention
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  • Python Client
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  • OpenTelemetry
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On this page
  • Phoenix Evaluators
  • Bring Your Own Evaluator
  • Online Evals
  • Evaluating Phoenix Traces
  • Multimodal Evals

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  1. Evaluation

How to: Evals

PreviousQuickstart: EvalsNextPre-Built Evals

Last updated 3 months ago

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  • (llm_classify)

  • (llm_generate)

Run evaluations via a job to visualize in the UI as traces stream in.

Evaluate traces captured in Phoenix and export results to the Phoenix UI.

Evaluate tasks with multiple inputs/outputs (ex: text, audio, image) using versatile evaluation tasks.

🧠
Evaluating Phoenix Traces
Multimodal Evals
Online Evals
Phoenix Evaluators
Hallucinations
Q&A on Retrieved Data
Retrieval (RAG) Relevance
Summarization
Code Generation
Toxicity
AI vs Human
Reference (Citation) Eval
User Frustration
SQL Generation Eval
Agent Function Calling Eval
Audio Emotion Detection
Bring Your Own Evaluator
Categorical evaluator
Numeric evaluator