Title: Week 12 Resources
Course: AIINFRA 301: Production RAG & LLMOps — Observability and Evaluation > Section: Week 12 — Tracing and Observability: Langfuse and Arize Phoenix

📚 Resources

- Langfuse trace/observation data model (trace, span, generation, event): https://langfuse.com/integrations/native/opentelemetry
- OpenTelemetry as the standard substrate for Langfuse and Phoenix: https://langfuse.com/faq/all/best-phoenix-arize-alternatives
- Langfuse self-hosted Docker Compose setup: https://langfuse.com/self-hosting/docker-compose
- Langfuse Python SDK v4.5.1 and self-hosting overview: https://langfuse.com/self-hosting
- Arize Phoenix install and OpenInference auto-instrumentation: https://arize.com/docs/phoenix
- Arize Phoenix local RAG tracing and evaluation cookbook: https://arize.com/docs/phoenix/cookbook/evaluation/evaluate-rag

Week 13 · Observability at Scale: LangSmith, OpenLLMetry, and MLflow

Notion ID: 392c08fd-0278-81da-be29-dff3262b8b0f Notion URL: https://app.notion.com/p/392c08fd027881dabe29dff3262b8b0f