ModelRefs / Arize Phoenix — AI Glossary
Arize Phoenix — AI Glossary
An open-source AI observability tool for LLM tracing, RAG evaluation, and embedding visualization. Self-hostable or SaaS.
Overview
Arize Phoenix (open-source, 2023) provides: OpenTelemetry-based tracing for any LLM app, built-in RAGAS-style RAG evaluation, embedding projections (UMAP/t-SNE), and model performance monitoring. Self-hostable or SaaS. Supports OpenAI, Anthropic, LlamaIndex, LangChain. A strong open-source alternative to LangSmith.
Reference details
| Topic | infrastructure |
|---|---|
| Last reviewed | 2026-06-24 |
Related terms
Commonly confused with
Another open-source entrant in the observability and evaluation category, distinguished mainly by its emphasis on retrieval and embedding analysis — visualising embedding spaces and diagnosing RAG failures. Where Langfuse and Braintrust centre on traces and evaluations respectively, this leans towards inspecting the retrieval stage, which matters if RAG is where your failures live.
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Frequently asked questions
What is Arize Phoenix?
An open-source AI observability tool for LLM tracing, RAG evaluation, and embedding visualization.
What concepts are related to Arize Phoenix?
Closely related concepts include langfuse, tracing, ragas.