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Build a Complete Langfuse Observability and Evaluation Pipeline for Tracing, Prompt Management, Scoring, and Experiments

TL;DR AI

Key summary

1 min read
  1. The tutorial shows how to set up Langfuse for LLM observability, tracing, and evaluation.

  2. It traces function calls and a small RAG workflow while managing prompts centrally.

  3. The pipeline attaches evaluation scores and supports dataset-based experiments.

  4. Experiments can run with either a real OpenAI model or a deterministic mock backend.

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