Langfuse vs RAG Failure Diagnostics Clinic
Side-by-side comparison with live GitHub signals. Last updated May 26, 2026.
| Metric | Langfuse | RAG Failure Diagnostics Clinic |
|---|---|---|
| GitHub Stars | 28.0K | 111.8K |
| Contributors | 157 | 78 |
| Last Commit | May 26, 2026 | May 23, 2026 |
| Open Issues | 641 | 11 |
| License | open-source | open-source |
| Pricing | freemium | open-source |
| Free Tier | Yes | Yes |
| Category | dev-tools | dev-tools |
| Trending | No | No |
Shared Tags
Only in Langfuse
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About Langfuse
Langfuse is an open-source LLM engineering platform providing observability, analytics, and prompt management. Features distributed tracing for complex agent chains, evaluation scoring, prompt versioning and A/B testing, dataset management, and cost tracking. Integrates with LangChain, LlamaIndex, OpenAI SDK, and any LLM framework via OpenTelemetry.
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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