IndexQuery_ncert.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-8P2PryCy8W3"
      },
      "source": [
        "## Creating a Vector Store and Querying"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "20gU-qeJVCdc",
        "outputId": "db8d0f1e-15e6-4d1a-ad44-43092a78f880"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting pinecone-client\n",
            "  Downloading pinecone_client-2.2.2-py3-none-any.whl (179 kB)\n",
            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/179.1 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m102.4/179.1 kB\u001b[0m \u001b[31m2.8 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m179.1/179.1 kB\u001b[0m \u001b[31m3.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (2.31.0)\n",
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            "Collecting loguru>=0.5.0 (from pinecone-client)\n",
            "  Downloading loguru-0.7.0-py3-none-any.whl (59 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.0/60.0 kB\u001b[0m \u001b[31m6.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "Collecting dnspython>=2.0.0 (from pinecone-client)\n",
            "  Downloading dnspython-2.4.2-py3-none-any.whl (300 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m300.4/300.4 kB\u001b[0m \u001b[31m7.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pinecone-client) (3.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pinecone-client) (2023.7.22)\n",
            "Installing collected packages: loguru, dnspython, pinecone-client\n",
            "Successfully installed dnspython-2.4.2 loguru-0.7.0 pinecone-client-2.2.2\n"
          ]
        }
      ],
      "source": [
        "pip install pinecone-client"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZAXSy0UWVLVI",
        "outputId": "6b68cd9a-843f-4ab7-da59-41af7b31c01d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "\u001b[?25h\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "tensorflow 2.12.0 requires protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3, but you have protobuf 3.19.6 which is incompatible.\n",
            "tensorflow-datasets 4.9.2 requires protobuf>=3.20, but you have protobuf 3.19.6 which is incompatible.\n",
            "tensorflow-metadata 1.14.0 requires protobuf<4.21,>=3.20.3, but you have protobuf 3.19.6 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0m"
          ]
        }
      ],
      "source": [
        "!pip install -qU \\\n",
        "  langchain==0.0.218 \\\n",
        "  openai==0.27.7 \\\n",
        "  tiktoken==0.4.0 \\\n",
        "  \"pinecone-client[grpc]\"==2.2.2"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RYb_B-secu5L",
        "outputId": "a2c99040-05cd-457b-99c6-66bf73240c35"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting sentence_transformers\n",
            "  Downloading sentence-transformers-2.2.2.tar.gz (85 kB)\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting transformers<5.0.0,>=4.6.0 (from sentence_transformers)\n",
            "  Downloading transformers-4.31.0-py3-none-any.whl (7.4 MB)\n",
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            "Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (3.8.1)\n",
            "Collecting sentencepiece (from sentence_transformers)\n",
            "  Downloading sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
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            "\u001b[?25hCollecting huggingface-hub>=0.4.0 (from sentence_transformers)\n",
            "  Downloading huggingface_hub-0.16.4-py3-none-any.whl (268 kB)\n",
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            "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1 (from transformers<5.0.0,>=4.6.0->sentence_transformers)\n",
            "  Downloading tokenizers-0.13.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\n",
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            "\u001b[?25hCollecting safetensors>=0.3.1 (from transformers<5.0.0,>=4.6.0->sentence_transformers)\n",
            "  Downloading safetensors-0.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
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            "\u001b[?25hRequirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk->sentence_transformers) (8.1.6)\n",
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            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (3.2.0)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (3.4)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (2.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (2023.7.22)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.6.0->sentence_transformers) (1.3.0)\n",
            "Building wheels for collected packages: sentence_transformers\n",
            "  Building wheel for sentence_transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for sentence_transformers: filename=sentence_transformers-2.2.2-py3-none-any.whl size=125924 sha256=2cc2eec6eb0fea59f5afc4f3d67492c91026ba8e949a0ebee91716a5eec30235\n",
            "  Stored in directory: /root/.cache/pip/wheels/62/f2/10/1e606fd5f02395388f74e7462910fe851042f97238cbbd902f\n",
            "Successfully built sentence_transformers\n",
            "Installing collected packages: tokenizers, sentencepiece, safetensors, huggingface-hub, transformers, sentence_transformers\n",
            "Successfully installed huggingface-hub-0.16.4 safetensors-0.3.2 sentence_transformers-2.2.2 sentencepiece-0.1.99 tokenizers-0.13.3 transformers-4.31.0\n"
          ]
        }
      ],
      "source": [
        "pip install sentence_transformers"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "UGmgbxsTb7uM"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "# os.environ['HUGGINGFACEHUB_API_TOKEN'] = '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'\n",
        "os.environ['HUGGINGFACEHUB_API_TOKEN'] = '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'"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8P8ehQ1Ab7uY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 465,
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        },
        "outputId": "15f79400-f370-46cc-92cb-9a26e8ed86eb"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)e9125/.gitattributes:   0%|          | 0.00/1.18k [00:00<?, ?B/s]"
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
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        },
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            ],
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          "metadata": {}
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          },
          "metadata": {}
        },
        {
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              "Downloading pytorch_model.bin:   0%|          | 0.00/90.9M [00:00<?, ?B/s]"
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          },
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          },
          "metadata": {}
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              "Downloading (…)cial_tokens_map.json:   0%|          | 0.00/112 [00:00<?, ?B/s]"
            ],
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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              "Downloading (…)e9125/tokenizer.json:   0%|          | 0.00/466k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
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              "Downloading (…)okenizer_config.json:   0%|          | 0.00/350 [00:00<?, ?B/s]"
            ],
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              "version_major": 2,
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          },
          "metadata": {}
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        {
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            ],
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              "version_major": 2,
              "version_minor": 0,
              "model_id": "f06257f8e74748f889c0a3c305a9dbd1"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)7e55de9125/vocab.txt:   0%|          | 0.00/232k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e5c84eb20acb424ea800c81c082ebbf9"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)5de9125/modules.json:   0%|          | 0.00/349 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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              "model_id": "f336ddcf989541a790cd7864b8c68c79"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "from langchain import HuggingFaceHub, LLMChain\n",
        "from langchain.embeddings import HuggingFaceEmbeddings\n",
        "\n",
        "model_name = 'sentence-transformers/all-MiniLM-L6-v2'\n",
        "\n",
        "embed = HuggingFaceEmbeddings(\n",
        "    model_name=model_name,\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "LdKiieDPcApe"
      },
      "outputs": [],
      "source": [
        "#b666ad2a-1d89-4252-981b-c6a222a980db\n",
        "import os\n",
        "# os.environ['PINECONE_API_KEY'] = 'b666ad2a-1d89-4252-981b-c6a222a980db'\n",
        "os.environ['PINECONE_API_KEY'] = '396bf1fb-9ddf-4e69-a697-6c145324bea8'\n",
        "\n",
        "#396bf1fb-9ddf-4e69-a697-6c145324bea8\n",
        "os.environ['PINECONE_ENVIRONMENT'] = 'asia-southeast1-gcp-free'"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "v0lSZGMCcApf"
      },
      "outputs": [],
      "source": [
        "import pinecone\n",
        "\n",
        "# find API key in console at app.pinecone.io\n",
        "PINECONE_API_KEY = os.getenv('PINECONE_API_KEY') or 'PINECONE_API_KEY'\n",
        "\n",
        "# find ENV (cloud region) next to API key in console\n",
        "PINECONE_ENVIRONMENT = os.getenv('PINECONE_ENVIRONMENT') or 'PINECONE_ENVIRONMENT'\n",
        "\n",
        "pinecone.init(\n",
        "    api_key=PINECONE_API_KEY,\n",
        "    environment=PINECONE_ENVIRONMENT\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qMXlvXOAyJHy"
      },
      "outputs": [],
      "source": [
        "from langchain.vectorstores import Pinecone\n",
        "\n",
        "text_field = \"text\"\n",
        "\n",
        "# switch back to normal index for langchain\n",
        "index_name=\"rag-trial\"\n",
        "index = pinecone.Index(index_name)\n",
        "\n",
        "vectorstore = Pinecone(\n",
        "    index, embed.embed_query, text_field\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "COT5s7hcyPiq"
      },
      "outputs": [],
      "source": [
        "query = \"In a process, change in internal energy of the system is -5088 J. If 1083 J of work is done by the system, what is the amount of heat absorbed by the process ?\"\n",
        "\n",
        "relevant_documents = vectorstore.similarity_search(\n",
        "    query,  # our search query\n",
        "    k=3  # return 3 most relevant docs\n",
        ")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9v9mPvYLB_OG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "006426f1-60c0-4502-842a-ca2ce6fec9f5"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Document(page_content='is volume, work done by the system against a constant pressure $P$ is  $ \\\\Delta W=P \\\\Delta V $  where $\\\\Delta V$ is the change in volume of the gas. Thus, for this case, Eq. (11.1) gives  $ \\\\Delta Q=\\\\Delta U+P \\\\Delta V $  As an application of Eq. (11.3), consider the change in internal energy for $1 \\\\mathrm{~g}$ of water when we go from its liquid to vapour phase. The measured latent heat of water is $2256 \\\\mathrm{~J} / \\\\mathrm{g}$. i.e., for $1 \\\\mathrm{~g}$ of water $\\\\Delta Q=2256 \\\\mathrm{~J}$. At atmospheric pressure, $1 \\\\mathrm{~g}$ of water has a volume $1 \\\\mathrm{~cm}^{3}$ in liquid phase and $1671 \\\\mathrm{~cm}^{3}$ in vapour phase.  Therefore,  $\\\\Delta W=P\\\\left(V_{\\\\mathrm{g}}-V_{1}\\\\right)=1.013 \\\\times 10^{5} \\\\times\\\\left(1671 \\\\times 10^{-6}\\\\right)=169.2 \\\\mathrm{~J}$  Equation (11.3) then gives  $ \\\\Delta U=2256-169.2=2086.8 \\\\mathrm{~J} $  We see that most of the heat goes to increase the internal energy of water in transition from the liquid to the vapour phase.  SPECIFIC HEAT CAPACITY Suppose an amount of heat $\\\\Delta Q$ supplied to a substance changes its temperature from $T$ to $T+\\\\Delta T$. We define heat capacity of a substance (see Chapter 10) to', metadata={'chunk': 10.0})"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "relevant_documents[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "pxuLUfPhCA0v",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bd253a97-4405-4e93-afe4-2df72fa59a24"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Document(page_content=\"to a system that results in change in its internal energy. (a) Heat is energy transfer due to temperature difference between the system and the surroundings. (b) Work is energy transfer brought about by means (e.g. moving the piston by raising or lowering some weight connected to it) that do not involve such a temperature difference.  What are the ways of changing internal energy of a system ? Consider again, for simplicity, the system to be a certain mass of gas contained in a cylinder with a movable piston as shown in Fig. 11.4. Experience shows there are two ways of changing the state of the gas (and hence its internal energy). One way is to put the cylinder in contact with a body at a higher temperature than that of the gas. The temperature difference will cause a flow of energy (heat) from the hotter body to the gas, thus increasing the internal energy of the gas. The other way is to push the piston down i.e. to do work on the system, which again results in increasing the internal energy of the gas. Of course, both these things could happen in the reverse direction. With surroundings at a lower temperature, heat would flow from the gas to the surroundings. Likewise, the gas could push the piston up and do work on the surroundings. In short, heat and work are two different modes of altering the state of a thermodynamic system and changing its internal energy.  The notion of heat should be carefully distinguished from the notion of internal energy. Heat is certainly energy, but it is the energy in transit. This is not just a play of words. The distinction is of basic significance. The state of a thermodynamic system is characterised by its internal energy, not heat. A statement like 'a gas in a given state has a certain amount of heat' is as meaningless as the statement that 'a gas in a given state has a certain amount of work'. In contrast, 'a gas in a given state has\", metadata={'chunk': 7.0})"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ],
      "source": [
        "relevant_documents[1]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1dsj9_ROCBTs",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b6dc1b22-c11c-4f77-e8f4-10f3f0fe126a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Document(page_content='i.e., the temperature of the gas rises.  Isochoric process In an isochoric process, $V$ is constant. No work is done on or by the gas. From Eq. (11.1), the heat absorbed by the gas goes entirely to change its internal energy and its temperature. The change in temperature for a given amount of heat is determined by the specific heat of the gas at constant volume.  Isobaric process In an isobaric process, $P$ is fixed. Work done by the gas is  $ W=P\\\\left(V_{2}-V_{1}\\\\right)=\\\\mu R\\\\left(T_{2}-T_{1}\\\\right) $  Since temperature changes, so does internal energy. The heat absorbed goes partly to increase internal energy and partly to do work. The change in temperature for a given amount of heat is determined by the specific heat of the gas at constant pressure.  Cyclic process In a cyclic process, the system returns to its initial state. Since internal energy is a state variable, $\\\\Delta U=0$ for a cyclic process. From Eq. (11.1), the total heat absorbed equals the work done by the system.  SECOND LAW OF THERMODYNAMICS The First Law of Thermodynamics is the principle of conservation of energy. Common experience shows that there are many conceivable processes that are perfectly allowed by the First Law and yet are never observed. For example, nobody has ever seen a book lying on a table jumping to a height by itself. But such a thing would be possible if the principle of conservation of energy were the only restriction. The table could cool spontaneously, converting some of its internal energy into an equal amount of mechanical energy of the book, which would then hop to a height with potential energy equal to the mechanical energy it acquired. But this never happens. Clearly, some additional basic principle of', metadata={'chunk': 22.0})"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "relevant_documents[2]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "aWG-7SukoPV-",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "224926d6-77a8-4ff1-a1b8-38e531a1d4ea"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "langchain.schema.Document"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ],
      "source": [
        "type(relevant_documents[0])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "LpMY6Pr-phus",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 123
        },
        "outputId": "977b959d-2342-443b-aaf5-f89c792dbf85"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'is volume, work done by the system against a constant pressure $P$ is  $ \\\\Delta W=P \\\\Delta V $  where $\\\\Delta V$ is the change in volume of the gas. Thus, for this case, Eq. (11.1) gives  $ \\\\Delta Q=\\\\Delta U+P \\\\Delta V $  As an application of Eq. (11.3), consider the change in internal energy for $1 \\\\mathrm{~g}$ of water when we go from its liquid to vapour phase. The measured latent heat of water is $2256 \\\\mathrm{~J} / \\\\mathrm{g}$. i.e., for $1 \\\\mathrm{~g}$ of water $\\\\Delta Q=2256 \\\\mathrm{~J}$. At atmospheric pressure, $1 \\\\mathrm{~g}$ of water has a volume $1 \\\\mathrm{~cm}^{3}$ in liquid phase and $1671 \\\\mathrm{~cm}^{3}$ in vapour phase.  Therefore,  $\\\\Delta W=P\\\\left(V_{\\\\mathrm{g}}-V_{1}\\\\right)=1.013 \\\\times 10^{5} \\\\times\\\\left(1671 \\\\times 10^{-6}\\\\right)=169.2 \\\\mathrm{~J}$  Equation (11.3) then gives  $ \\\\Delta U=2256-169.2=2086.8 \\\\mathrm{~J} $  We see that most of the heat goes to increase the internal energy of water in transition from the liquid to the vapour phase.  SPECIFIC HEAT CAPACITY Suppose an amount of heat $\\\\Delta Q$ supplied to a substance changes its temperature from $T$ to $T+\\\\Delta T$. We define heat capacity of a substance (see Chapter 10) to'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "source": [
        "relevant_documents[0].page_content"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "lR61D0YjCEvw",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "147b8b5b-57ea-4206-f0ad-6f97b1e8a858"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "str"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "type(relevant_documents[0].page_content)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "049LLqCr9HUl"
      },
      "outputs": [],
      "source": [
        "strs = \"\"\n",
        "for name,i in enumerate(relevant_documents):\n",
        "  strs+=i.page_content\n",
        "  strs+=\"<SEP>\"\n",
        "strs"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "7UPQ-Dyh9yM9"
      },
      "outputs": [],
      "source": [
        "with open(\"retrived_doc.txt\",'w+') as f:\n",
        "  f.write(strs)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "pUefFc8YDaHB"
      },
      "outputs": [],
      "source": [
        "!python --version"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ehJEn68qADoH"
      },
      "source": [
        "---"
      ]
    }
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