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deepset-ai · May 7, 2024 · 94a2ae2 · 94a2ae2
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diff --git a/tutorials/35_Evaluating_RAG_Pipelines.ipynb b/tutorials/35_Evaluating_RAG_Pipelines.ipynb
@@ -48,7 +48,7 @@
  "\n",
  "To evaluate a full RAG pipeline, we have to evaluate each of these steps in isolation, as well as a full unit. While retrieval can in some cases be evaluated with some statistical metrics that require labels, it's not a straight-forward task to do the same for the generation step. Instead, we often rely on model-based metrics to evaluate the generation step, where an LLM is used as the 'evaluator'.\n",
  "\n",
- "![Steps or RAG](img/tutorial35_rag.png)"
+ "![Steps or RAG](https://raw.githubusercontent.com/deepset-ai/haystack-tutorials/main/tutorials/img/tutorial35_rag.png)"
  ]
  },
  {

diff --git a/tutorials/img/tutorial35_rag.png b/tutorials/img/tutorial35_rag.png