notebooks/prompt_customization_for_Anthropic.ipynb

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  "cells": [
    {
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      "metadata": {
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        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/deepset-ai/haystack-cookbook/blob/main/notebooks/prompt_customization_for_Anthropic.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Advance Prompt Customization for Anthropic"
      ],
      "metadata": {
        "id": "ESv3uzlwmWtg"
      }
    },
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)"
      ],
      "metadata": {
        "id": "b3R11-WUl4zo"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "*Notebook by Bilge Yucel ([LI](https://www.linkedin.com/in/bilge-yucel/) & [X (Twitter)](https://twitter.com/bilgeycl))*\n",
        "\n",
        "In this example, we'll create a RAG application using prompting techniques in [Anthropic's Prompt Engineering Guide](https://docs.anthropic.com/claude/docs/prompt-engineering). This application will use Anthropic Claude 3 models and [Haystack](https://github.com/deepset-ai/haystack) to extract relevant quotes from given documents and generate an answer based on extracted quotes.\n",
        "\n",
        "**📚 Useful Sources:**\n",
        "* [Docs: AnthropicChatGenerator](https://docs.haystack.deepset.ai/docs/anthropicchatgenerator)\n",
        "* [Integration: Anthropic](https://haystack.deepset.ai/integrations/anthropic)"
      ],
      "metadata": {
        "id": "uP2XU1n_lnlf"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        ">[Advance Prompt Customization for Anthropic](#scrollTo=ESv3uzlwmWtg)\n",
        "\n",
        ">>[Setup the Development Environment](#scrollTo=Fl2qgtFLRWUT)\n",
        "\n",
        ">>[Download the Dataset](#scrollTo=mMjY_oV5JfT8)\n",
        "\n",
        ">>[Create Embeddings and Index into the DocumentStore](#scrollTo=qKK6SVLCJmD7)\n",
        "\n",
        ">>[Build the Prompt](#scrollTo=GPZwiWzhbaN2)\n",
        "\n",
        ">>[Initialize RAG Pipeline Components](#scrollTo=GjD7l36pJtBU)\n",
        "\n",
        ">>[Build the RAG Pipeline](#scrollTo=4yPHqvfOKA27)\n",
        "\n",
        ">>[Test Different Questions](#scrollTo=jj0yzGI0KDVH)\n",
        "\n",
        ">>>[Extract the Quotes](#scrollTo=wt_u4YSXDBu-)\n",
        "\n",
        ">>>[Extract the Answer](#scrollTo=aQgtPnGSC8zJ)\n",
        "\n"
      ],
      "metadata": {
        "colab_type": "toc",
        "id": "ViaqXeFoRfYo"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Setup the Development Environment\n",
        "\n",
        "Install [antropic-haystack](https://pypi.org/project/anthropic-haystack/) package and other required packages with pip:"
      ],
      "metadata": {
        "id": "Fl2qgtFLRWUT"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "alM0lmgJXb5M",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ddf545b5-b297-4272-b22c-99499d239e59"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting anthropic-haystack\n",
            "  Downloading anthropic_haystack-0.2.0-py3-none-any.whl (12 kB)\n",
            "Collecting datasets>=2.6.1\n",
            "  Downloading datasets-2.18.0-py3-none-any.whl (510 kB)\n",
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            "\u001b[?25hCollecting sentence-transformers>=2.2.0\n",
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            "Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch>=1.11.0->sentence-transformers>=2.2.0)\n",
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            "\u001b[?25hCollecting posthog (from haystack-ai->anthropic-haystack)\n",
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            "Collecting monotonic>=1.5 (from posthog->haystack-ai->anthropic-haystack)\n",
            "  Downloading monotonic-1.6-py2.py3-none-any.whl (8.2 kB)\n",
            "Collecting backoff>=1.10.0 (from posthog->haystack-ai->anthropic-haystack)\n",
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            "Installing collected packages: monotonic, xxhash, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, lazy-imports, haystack-bm25, h11, dill, boilerpy3, backoff, posthog, nvidia-cusparse-cu12, nvidia-cudnn-cu12, multiprocess, httpcore, nvidia-cusolver-cu12, httpx, openai, datasets, anthropic, sentence-transformers, haystack-ai, anthropic-haystack\n",
            "Successfully installed anthropic-0.21.0 anthropic-haystack-0.2.0 backoff-2.2.1 boilerpy3-1.0.7 datasets-2.18.0 dill-0.3.8 h11-0.14.0 haystack-ai-2.0.0 haystack-bm25-1.0.2 httpcore-1.0.4 httpx-0.27.0 lazy-imports-0.3.1 monotonic-1.6 multiprocess-0.70.16 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.19.3 nvidia-nvjitlink-cu12-12.4.99 nvidia-nvtx-cu12-12.1.105 openai-1.14.2 posthog-3.5.0 sentence-transformers-2.5.1 xxhash-3.4.1\n"
          ]
        }
      ],
      "source": [
        "!pip install anthropic-haystack \"datasets>=2.6.1\" \"sentence-transformers>=2.2.0\""
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "You need an `ANTHROPIC_API_KEY` to work with Claude models. Get your API key [here](https://docs.anthropic.com/claude/docs/getting-access-to-claude#step-3-generate-an-api-key)"
      ],
      "metadata": {
        "id": "DRNs06MjY3sm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "from getpass import getpass\n",
        "\n",
        "os.environ[\"ANTHROPIC_API_KEY\"] = getpass(\"Enter the ANTHROPIC_API_KEY: \")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rLIc5djcj6U2",
        "outputId": "816185c7-d371-4bd5-cca5-f900cf2b979d"
      },
      "execution_count": 3,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Enter the ANTHROPIC_API_KEY: ··········\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Download the Dataset\n",
        "\n",
        "We'll use the [bilgeyucel/seven-wonders](https://huggingface.co/datasets/bilgeyucel/seven-wonders) dataset on Hugging Face"
      ],
      "metadata": {
        "id": "mMjY_oV5JfT8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from datasets import load_dataset\n",
        "from haystack import Document\n",
        "\n",
        "dataset = load_dataset(\"bilgeyucel/seven-wonders\", split=\"train\")\n",
        "docs = [Document(content=doc[\"content\"], meta=doc[\"meta\"]) for doc in dataset]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 240,
          "referenced_widgets": [
            "7467b0d1612e42b2ab5795c50520e2a7",
            "6fcb75ecd09348ee99bb912f64d053e4",
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            "dc8d488505434f2192e2fbb553d97c83",
            "e15d2d70a557457bb911495ffaa0a91b",
            "63f4bcb997b94ea9b95ae5211303b440",
            "d38d0f7d070a43ada6692c9513c09386",
            "947c0890939f4977aea5b44651a5fca4"
          ]
        },
        "id": "iBZ2oFHyoCrP",
        "outputId": "33bd82b8-213f-4f23-f14c-12d8dac85019"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading readme:   0%|          | 0.00/46.0 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "7467b0d1612e42b2ab5795c50520e2a7"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading data:   0%|          | 0.00/119k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "351e01a33af14915b69a49f21ac5768a"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Generating train split: 0 examples [00:00, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "fbf9e03197b3443e87c6d97134d75f29"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Create Embeddings and Index into the DocumentStore"
      ],
      "metadata": {
        "id": "qKK6SVLCJmD7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from haystack.document_stores.in_memory import InMemoryDocumentStore\n",
        "from haystack.components.embedders import SentenceTransformersDocumentEmbedder\n",
        "\n",
        "document_store = InMemoryDocumentStore()\n",
        "\n",
        "doc_embedder = SentenceTransformersDocumentEmbedder(model=\"sentence-transformers/all-MiniLM-L6-v2\")\n",
        "doc_embedder.warm_up()\n",
        "\n",
        "docs_with_embeddings = doc_embedder.run(docs)\n",
        "document_store.write_documents(docs_with_embeddings[\"documents\"])"
      ],
      "metadata": {
        "id": "m3Hk7VWfoGOI",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419,
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        "outputId": "b45fd183-e312-407d-fe5f-e1a1305e725b"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
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          "metadata": {}
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        {
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          "data": {
            "text/plain": [
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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        {
          "output_type": "display_data",
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        {
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          "metadata": {}
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        {
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        {
          "output_type": "execute_result",
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              "151"
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          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Build the Prompt\n",
        "\n",
        "Claude models are familiar with prompts that contain XML tags, as they were exposed to such prompts during training. By wrapping key parts of the prompt (such as instructions, examples, or input data) in XML tags, we can help Claude better understand the context and generate more accurate outputs.\n",
        "\n",
        "To formulate a prompt that first extracts quotes from relevant documents and then refers to these quotes to generate the answer, follow these steps in your prompt:\n",
        "\n",
        "1. Place retrieved documents between `<documents> </documents>` tags.\n",
        "2. Render each document between `<document> </document>` tags, including a document index for Claude to reference later.\n",
        "3. Instruct Claude to extract quotes within `<quotes> </quotes>` tags, including document index information.\n",
        "4. Ensure that Claude generates the answer between `<answer> </answer>` tags.\n"
      ],
      "metadata": {
        "id": "GPZwiWzhbaN2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "prompt = \"\"\"\n",
        "Here is a document, in <document></document> XML tags:\n",
        "\n",
        "<documents>\n",
        "{% for document in documents %}\n",
        " <document index=\"{{loop.index}}\">\n",
        "  {{document.content}}\n",
        "  </document>\n",
        "{% endfor %}\n",
        "</documents>\n",
        "\n",
        "First, extract, word-for-word, any quotes relevant to the question, enclose the full list of quotes in <quotes></quotes> XML tags with the corresponding document index and use these quotes to an answer to the question.\n",
        "\n",
        "If there are no quotes in this document that seem relevant to this question, please say \"I can't find any relevant quotes\".\n",
        "\n",
        "Then, answer the question in <answer></answer> tags. Do not include or reference quoted content verbatim in the answer. Ensure that your answer is accurate and doesn't contain any information not directly supported by the quotes. Make references to quotes relevant to each section of the answer solely by adding their bracketed numbers at the end of relevant sentences\n",
        "\n",
        "Here is the question: {{question}}\n",
        "\"\"\""
      ],
      "metadata": {
        "id": "eSdg0KxobEhD"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "The rendered prompt should look like this when it's fed with relevant documents and the question:\n",
        "\n",
        "```xml\n",
        "Here is a document, in <document></document> XML tags:\n",
        "\n",
        "<documents>\n",
        "<document index=\"1\">\n",
        "  (the text content of the first document)\n",
        "</document>\n",
        "<document index=\"2\">\n",
        "  (the text content of the second document)\n",
        "</document>\n",
        "<document index=\"3\">\n",
        "  (the text content of the third document)\n",
        "</document>\n",
        "...\n",
        "</documents>\n",
        "\n",
        "First, extract, word-for-word, any quotes relevant to the question, enclose the full list of quotes in <quotes></quotes> XML tags with the corresponding document index and use these quotes to an answer to the question.\n",
        "\n",
        "If there are no quotes in this document that seem relevant to this question, please say \"I can't find any relevant quotes\".\n",
        "\n",
        "Then, answer the question in <answer></answer> tags. Do not include or reference quoted content verbatim in the answer. Ensure that your answer is accurate and doesn't contain any information not directly supported by the quotes. Make references to quotes relevant to each section of the answer solely by adding their bracketed numbers at the end of relevant sentences\n",
        "\n",
        "Here is the question: (user question)\n",
        "```\n",
        "\n",
        "And in return, Claude's response should look like this:\n",
        "\n",
        "\n",
        "```xml\n",
        "<quotes>\n",
        "<quote index=\"1\">Large numbers of people came to Ephesus in March and in the beginning of May to attend the main Artemis Procession.</quote>\n",
        "<quote index=\"2\">The Temple of Artemis or Artemision (Greek: Ἀρτεμίσιον; Turkish: Artemis Tapınağı), also known as the Temple of Diana, was a Greek temple dedicated to an ancient, local form of the goddess Artemis (identified with Diana, a Roman goddess).</quote>\n",
        "</quotes>\n",
        "\n",
        "<answer>\n",
        "According to the documents, people visited the Temple of Artemis in Ephesus primarily for religious reasons to attend festivals and processions dedicated to the goddess Artemis (also known as Diana). The temple was dedicated to an ancient local form of the goddess and held a main Artemis Procession in March and early May that drew large crowds. [1] The temple was considered an important religious site for the worship of Artemis in the Greek world. [2] People likely traveled there to make offerings, participate in rituals, and celebrate the goddess during major festivals and ceremonies held at the sacred site.\n",
        "</answer>\n",
        "```"
      ],
      "metadata": {
        "id": "7JNgcSAADr37"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Initialize RAG Pipeline Components\n",
        "\n",
        "Initialize components required for a RAG pipeline:\n",
        "- [SentenceTransformersTextEmbedder](https://docs.haystack.deepset.ai/docs/sentencetransformerstextembedder): to create embeddings using for the query using sentence-transformers models\n",
        "- [InMemoryEmbeddingRetriever](https://docs.haystack.deepset.ai/docs/inmemoryembeddingretriever): to retrieve relevant documents\n",
        "- [DynamicChatPromptBuilder](https://docs.haystack.deepset.ai/docs/dynamicchatpromptbuilder): to construct prompts dynamically by processing `ChatMessage` objects\n",
        "- [AnthropicChatGenerator](https://docs.haystack.deepset.ai/docs/anthropicchatgenerator): to use chat completion API of Anthropic Claude models, we'll use `claude-3-sonnet-20240229` for this example"
      ],
      "metadata": {
        "id": "GjD7l36pJtBU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from haystack.components.builders import DynamicChatPromptBuilder\n",
        "from haystack_integrations.components.generators.anthropic import AnthropicChatGenerator\n",
        "from haystack.dataclasses import ChatMessage\n",
        "from haystack.components.embedders import SentenceTransformersTextEmbedder\n",
        "from haystack.components.retrievers.in_memory import InMemoryEmbeddingRetriever\n",
        "\n",
        "text_embedder = SentenceTransformersTextEmbedder(model=\"sentence-transformers/all-MiniLM-L6-v2\")\n",
        "retriever = InMemoryEmbeddingRetriever(document_store)\n",
        "\n",
        "messages = [\n",
        "    ChatMessage.from_system(\"You are an expert who answers questions based on the given documents.\"),\n",
        "    ChatMessage.from_user(prompt),\n",
        "]\n",
        "\n",
        "prompt_builder = DynamicChatPromptBuilder(runtime_variables=[\"documents\"])\n",
        "llm = AnthropicChatGenerator(model=\"claude-3-sonnet-20240229\")"
      ],
      "metadata": {
        "id": "n3f6jp13Z102"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Build the RAG Pipeline\n",
        "\n",
        "Learn how to build a pipeline in [Creating Pipelines](https://docs.haystack.deepset.ai/docs/creating-pipelines)."
      ],
      "metadata": {
        "id": "4yPHqvfOKA27"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from haystack import Pipeline\n",
        "\n",
        "rag_with_quotes = Pipeline()\n",
        "# Add components to your pipeline\n",
        "rag_with_quotes.add_component(\"text_embedder\", text_embedder)\n",
        "rag_with_quotes.add_component(\"retriever\", retriever)\n",
        "rag_with_quotes.add_component(\"prompt_builder\", prompt_builder)\n",
        "rag_with_quotes.add_component(\"llm\", llm)\n",
        "\n",
        "# Now, connect the components to each other\n",
        "rag_with_quotes.connect(\"text_embedder.embedding\", \"retriever.query_embedding\")\n",
        "rag_with_quotes.connect(\"retriever\", \"prompt_builder.documents\")\n",
        "rag_with_quotes.connect(\"prompt_builder\", \"llm\")"
      ],
      "metadata": {
        "id": "csL2vR6RFMkY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "d8b9a744-531d-4529-efce-178e9cd65978"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Test Different Questions"
      ],
      "metadata": {
        "id": "jj0yzGI0KDVH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "question = \"Why were people visiting the Temple of Artemis?\" # @param [\"Why were people visiting the Temple of Artemis?\", \"How did Colossus of Rhodes collapse?\", \"What is the importance of Colossus of Rhodes?\", \"Why did people build Great Pyramid of Giza?\", \"What does Rhodes Statue look like?\"]\n",
        "\n",
        "result = rag_with_quotes.run(\n",
        "    data={\n",
        "        \"text_embedder\" : {\"text\": question},\n",
        "        \"retriever\" : {\"top_k\": 5},\n",
        "        \"prompt_builder\": {\"template_variables\": {\"question\": question}, \"prompt_source\": messages},\n",
        "    }\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "b6970bac232d422b89bf56d81fd258d5",
            "df04505763a942c995054b7b6eba4525",
            "7f3bb64dd42c4a1db59a2df96a185a87",
            "7afbf39634154bee9b8fe561d3d37cfb",
            "feaedfb71d3c4fa69b291ae7c45fe9fd",
            "bbc810b2b47b445ca34b0977e2396cd2",
            "28abf93e32b144c9a889ba0e3f3ed981",
            "6824d8ebfb474eddac190fcd9514e010",
            "f55776bcc33d4043b833241f903b6944",
            "ef3d81540b1b4965ad6067d875d651d1",
            "c53c91f1688c478c9162dc609bbfeb72"
          ]
        },
        "id": "6PypcBNWtMIo",
        "outputId": "63e8f813-fb29-4412-e29c-142df1c5d8b7"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Batches:   0%|          | 0/1 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "b6970bac232d422b89bf56d81fd258d5"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(result[\"llm\"][\"replies\"][0].content)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DwycR4IDI55G",
        "outputId": "577d4b29-96e6-4aff-f082-2ef35da3e489"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<quotes>\n",
            "<quote index=\"1\">Large numbers of people came to Ephesus in March and in the beginning of May to attend the main Artemis Procession.</quote>\n",
            "<quote index=\"3\">The fame of the Temple of Artemis was known in the Renaissance, as demonstrated in this imagined portrayal of the temple in a 16th-century hand-colored engraving by Martin Heemskerck.</quote>\n",
            "</quotes>\n",
            "\n",
            "<answer>\n",
            "People visited the Temple of Artemis in Ephesus primarily to attend the main Artemis Procession, which took place in March and early May every year. [1] The temple was famous and its magnificence was well-known, attracting visitors even in the Renaissance period centuries later. [3] The quotes indicate that the major draw for visitors to Ephesus was the religious celebrations and festivals honoring the goddess Artemis, which were a key part of the temple's significance and renown.\n",
            "</answer>\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Extract the Quotes"
      ],
      "metadata": {
        "id": "wt_u4YSXDBu-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import re\n",
        "\n",
        "re.findall(r'<quote .*?>([\\s\\S]*?)<\\/quote>', result[\"llm\"][\"replies\"][0].content)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6YHiJ3kY5OUA",
        "outputId": "7e21170e-a141-4023-e910-289f47dc75a1"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Large numbers of people came to Ephesus in March and in the beginning of May to attend the main Artemis Procession.',\n",
              " 'The fame of the Temple of Artemis was known in the Renaissance, as demonstrated in this imagined portrayal of the temple in a 16th-century hand-colored engraving by Martin Heemskerck.']"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Extract the Answer"
      ],
      "metadata": {
        "id": "aQgtPnGSC8zJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import re\n",
        "\n",
        "re.findall(r'<answer>([\\s\\S]*?)<\\/answer>', result[\"llm\"][\"replies\"][0].content)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xxO3Q8Ts6JQX",
        "outputId": "b37375bf-b98f-4f75-cc7e-9e77a03d1f20"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[\"\\nPeople visited the Temple of Artemis in Ephesus primarily to attend the main Artemis Procession, which took place in March and early May every year. [1] The temple was famous and its magnificence was well-known, attracting visitors even in the Renaissance period centuries later. [3] The quotes indicate that the major draw for visitors to Ephesus was the religious celebrations and festivals honoring the goddess Artemis, which were a key part of the temple's significance and renown.\\n\"]"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "iCT_24xNnoOg"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}