Arize Phoenix vs RAG Failure Diagnostics Clinic
Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.
| Metric | Arize Phoenix | RAG Failure Diagnostics Clinic |
|---|---|---|
| GitHub Stars | 8.5K | 104.2K |
| Contributors | 120 | 74 |
| Last Commit | Mar 28, 2026 | Apr 1, 2026 |
| Open Issues | — | 5 |
| License | open-source | open-source |
| Pricing | freemium | open-source |
| Free Tier | Yes | Yes |
| Category | dev-tools | dev-tools |
| Trending | Yes | No |
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About Arize Phoenix
Arize Phoenix is an open-source observability platform for LLM applications. It provides tracing for multi-step agent workflows, built-in evaluation with LLM-as-judge and code-based evals, dataset management for experiments, and a visual UI for debugging prompt/response pairs. Phoenix integrates with OpenTelemetry, LangChain, LlamaIndex, and OpenAI, and can run locally or in the cloud.
View full listingAbout RAG Failure Diagnostics Clinic
A diagnostic tool that identifies why RAG pipelines produce poor results. It tests for common failure modes: irrelevant retrieval, missing context, hallucination over context, chunking issues, and embedding quality problems. Provides a structured report with specific fix recommendations for each detected issue. Essential for debugging production RAG systems. Part of the awesome-llm-apps collection.
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