{
  "input": [
    {
      "message": {
        "content": "You are an expert Q&A system that is trusted around the world.\nAlways answer the query using the provided context information, and not prior knowledge.\nSome rules to follow:\n1. Never directly reference the given context in your answer.\n2. Avoid statements like 'Based on the context, ...' or 'The context information ...' or anything along those lines.",
        "role": "system"
      }
    },
    {
      "message": {
        "content": "Context information is below.\n---------------------\nRanking models are used by search engines to display query results ranked in the order of the highest relevance. These predictions seek to maximize user actions that are then used to evaluate model performance. \n\nThe complexity within a ranking model makes failures challenging to pinpoint as a model’s dimensions expand per recommendation. Notable challenges within ranking models include upstream data quality issues, poor-performing segments, the cold start problem, and more.  \n\n**Use the 'arize-demo-hotel-ranking' model, available in all free accounts, to follow along.** \n---------------------\nGiven the context information and not prior knowledge, answer the query.\nQuery: How do I use the SDK to upload a ranking model?\nAnswer: ",
        "role": "user"
      }
    }
  ]
}

{
  "output": [
    {
      "message": {
        "content": "To use the SDK to upload a ranking model, you can follow the documentation provided by the SDK. The documentation will guide you through the necessary steps to upload the model and integrate it into your system. Make sure to carefully follow the instructions to ensure a successful upload and integration process.",
        "role": "assistant"
      }
    }
  ]
}

{
    "input": "How do I use the SDK to upload a ranking model?"
}

{
  "output": [
    {
      "document": {
        "score": 0.8022561073303223,
        "content": "\nRanking models are used by search engines to display query results ranked in the order of the highest relevance. These predictions seek to maximize user actions that are then used to evaluate model performance. \n\nThe complexity within a ranking model makes failures challenging to pinpoint as a model’s dimensions expand per recommendation. Notable challenges within ranking models include upstream data quality issues, poor-performing segments, the cold start problem, and more.  \n\n\n\n",
        "id": "ad17eeea-e339-4195-991b-8eef54b1db65"
      }
    },
    {
      "document": {
        "score": 0.7964192032814026,
        "content": "\n**Use the 'arize-demo-hotel-ranking' model, available in all free accounts, to follow along.** \n\n",
        "id": "0ce66871-4a50-4d2f-94d2-1531924bf48a"
      }
    }
  ]
}