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Arize Phoenix
LLM Orchestrators
Overview
An open-source AI observability platform specifically designed for LLMs and RAG. It provides tools for tracing, evaluation, and troubleshooting to ensure that AI applications are performing as expected in production.
Arize Phoenix is an open-source observability tool for LLM and RAG applications, offering tracing, evaluation, and troubleshooting with strong support for OpenTelemetry. It helps teams find and fix performance and quality issues in complex pipelines. It targets developers who want open, standards-based AI observability.
Key Features
- Tracing for LLM and RAG pipelines
- Built-in evaluation tooling
- OpenTelemetry support
- Troubleshooting and debugging views
- Open-source
Best For
Developers who want open, standards-based observability for LLM and RAG apps.
Pros & Cons
Pros
- Open-source with OTel support
- Strong RAG troubleshooting
- Backed by Arize
Cons
- Requires instrumentation
- Observability only
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Pulse Verdict
“The 'flight recorder' for RAG. Arize Phoenix provides the deep visibility needed to identify and fix performance bottlenecks in complex AI-driven data pipelines.”
Pricing
Open-source and free; Arize offers paid enterprise platform.
Pricing changes often — confirm current plans on the official site.