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Copy file name to clipboardExpand all lines: docs/howtos/integrations/ragas-arize.ipynb
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"Building a baseline for a RAG pipeline is not usually difficult, but enhancing it to make it suitable for production and ensuring the quality of your responses is almost always hard. Choosing the right tools and parameters for RAG can itself be challenging when there is an abundance of options available. This tutorial shares a robust workflow for making the right choices while building your RAG and ensuring its quality. \n",
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"This articles covers how to evaluate, visualize and analyze your RAG using a combination of open-source libraries. We will be using\n",
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"This article covers how to evaluate, visualize and analyze your RAG using a combination of open-source libraries. We will be using:\n",
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"- [Ragas](https://docs.ragas.io/en/stable/) for synthetic test data generation and evaluation\n",
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"- Arize AI’s [Phoenix](https://docs.arize.com/phoenix) for tracing, visualization, and cluster analysis\n",
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