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remove uptrain mentions from tutorials (#407)
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tutorials/35_Evaluating_RAG_Pipelines.ipynb

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"We will use some of these evalution techniques in this tutorial to evaluate a RAG pipeline that is designed to answer questions on PubMed data.\n",
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"\n",
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">🧑‍🍳 As well as Haystack's own evaluation metrics, you can also integrate with a number of evaluation frameworks. See the integrations and examples below 👇\n",
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"> - [Evaluate with DeepEval](https://colab.research.google.com/github/deepset-ai/haystack-cookbook/blob/main/notebooks/rag_eval_deep_eval.ipynb)\n",
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"> - [Evaluate with RAGAS](https://colab.research.google.com/github/deepset-ai/haystack-cookbook/blob/main/notebooks/rag_eval_ragas.ipynb)\n",
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"> - [Evaluate with UpTrain](https://colab.research.google.com/github/deepset-ai/haystack-cookbook/blob/main/notebooks/rag_eval_uptrain.ipynb)\n",
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"> - [Evaluate with DeepEval](https://haystack.deepset.ai/cookbook/rag_eval_deep_eval)\n",
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"> - [Evaluate with RAGAS](https://haystack.deepset.ai/cookbook/rag_eval_ragas)\n",
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"\n",
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"### Evaluating RAG Pipelines\n",
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"RAG pipelines ultimately consist of at least 2 steps:\n",

tutorials/guide_evaluation.ipynb

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"\n",
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"> 🧑‍🍳 As well as Haystack’s own evaluation metrics, you can also integrate with a number of evaluation frameworks. See the integrations and examples below 👇\n",
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"> \n",
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"> - [Evaluate with DeepEval](https://colab.research.google.com/github/deepset-ai/haystack-cookbook/blob/main/notebooks/rag_eval_deep_eval.ipynb)\n",
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"> - [Evaluate with ragas](https://colab.research.google.com/github/deepset-ai/haystack-cookbook/blob/main/notebooks/rag_eval_ragas.ipynb)\n",
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"> - [Evaluate with UpTrain](https://colab.research.google.com/github/deepset-ai/haystack-cookbook/blob/main/notebooks/rag_eval_uptrain.ipynb)\n",
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"> - [Evaluate with DeepEval](https://haystack.deepset.ai/cookbook/rag_eval_deep_eval)\n",
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"> - [Evaluate with ragas](https://haystack.deepset.ai/cookbook/rag_eval_ragas)\n",
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"\n",
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"For step-by-step instructions, watch [our video walkthrough](https://youtu.be/5PrzXaZ0-qk?feature=shared) 🎥 👇\n",
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"\n",

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