RAG_chatbot.ipynb

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      "execution_count": 2,
      "metadata": {
        "collapsed": true,
        "id": "e7whovEJs7bg"
      },
      "outputs": [],
      "source": [
        "!pip install -qU langchain\n",
        "!pip install -qU langchain-community"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#loading documents\n",
        "from langchain_community.document_loaders import TextLoader, PyPDFLoader\n",
        "import os\n",
        "\n",
        "my_dir = \"/content/books\"\n",
        "docs = []\n",
        "for f in os.listdir(my_dir):\n",
        "    if not f.endswith(\".txt\"): continue\n",
        "    print(f\"\\n{f}\")\n",
        "    loadertxt = TextLoader(os.path.join(my_dir, f))\n",
        "    doc = loadertxt.load()\n",
        "    print(type(doc), len(doc))\n",
        "    print(type(doc[0]))\n",
        "    print(doc[0].metadata)\n",
        "    print(len(doc[0].page_content))\n",
        "    docs.extend(doc)\n",
        "print(len(docs))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bqb9Aj-2u-_1",
        "outputId": "19b20e14-f3c2-4f6e-a7aa-5dcf7513bbb9"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "little_women.txt\n",
            "<class 'list'> 1\n",
            "<class 'langchain_core.documents.base.Document'>\n",
            "{'source': '/content/books/little_women.txt'}\n",
            "70570\n",
            "\n",
            "three_men_in_a_boat.txt\n",
            "<class 'list'> 1\n",
            "<class 'langchain_core.documents.base.Document'>\n",
            "{'source': '/content/books/three_men_in_a_boat.txt'}\n",
            "29232\n",
            "\n",
            "importance_of_being_earnest.txt\n",
            "<class 'list'> 1\n",
            "<class 'langchain_core.documents.base.Document'>\n",
            "{'source': '/content/books/importance_of_being_earnest.txt'}\n",
            "29216\n",
            "3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#chunking\n",
        "!pip install -qU langchain-text-splitters"
      ],
      "metadata": {
        "id": "aLbdvSkGwrf8"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
        "\n",
        "splitter = RecursiveCharacterTextSplitter(chunk_size = 1000, chunk_overlap=100)\n",
        "chunks = splitter.split_documents(docs)\n",
        "\n",
        "print(f\"{len(doc)} documents have been split into {len(chunks)} chunks.\")\n",
        "print(f\"Each chunk is of type {type(chunks[0])}\")\n",
        "print(f\"\\nSample chuck page content:\\n{chunks[0].page_content}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JvpOYg3511Tv",
        "outputId": "961b5d08-ed0e-4a8c-e9e0-399a85b3a888"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1 documents have been split into 162 chunks.\n",
            "Each chunk is of type <class 'langchain_core.documents.base.Document'>\n",
            "\n",
            "Sample chuck page content:\n",
            "The Project Gutenberg eBook of Little Women\n",
            "    \n",
            "This ebook is for the use of anyone anywhere in the United States and\n",
            "most other parts of the world at no cost and with almost no restrictions\n",
            "whatsoever. You may copy it, give it away or re-use it under the terms\n",
            "of the Project Gutenberg License included with this ebook or online\n",
            "at www.gutenberg.org. If you are not located in the United States,\n",
            "you will have to check the laws of the country where you are located\n",
            "before using this eBook.\n",
            "\n",
            "Title: Little Women\n",
            "\n",
            "Author: Louisa May Alcott\n",
            "\n",
            "Release date: May 1, 1996 [eBook #514]\n",
            "                Most recently updated: November 4, 2022\n",
            "\n",
            "Language: English\n",
            "\n",
            "\n",
            "\n",
            "*** START OF THE PROJECT GUTENBERG EBOOK LITTLE WOMEN ***\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Little Women\n",
            "\n",
            "by Louisa May Alcott\n",
            "\n",
            "\n",
            "Contents\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -qU sentence_transformers"
      ],
      "metadata": {
        "id": "1gSSUsLb5-GS",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b13fc0fa-16d1-41be-92d3-675e6e97dc3c"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m227.1/227.1 kB\u001b[0m \u001b[31m3.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.3/21.3 MB\u001b[0m \u001b[31m38.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Embeddings and Vectorstore\n",
        "from langchain_community.embeddings.sentence_transformer import SentenceTransformerEmbeddings\n",
        "\n",
        "embeddings = SentenceTransformerEmbeddings(model_name = \"all-MiniLM-L6-v2\")\n"
      ],
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          ]
        },
        "id": "CdmATWYo4Lhg",
        "outputId": "e2a49fef-3e35-4e04-90bf-45aace56d6ac"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py:139: LangChainDeprecationWarning: The class `HuggingFaceEmbeddings` was deprecated in LangChain 0.2.2 and will be removed in 0.3.0. An updated version of the class exists in the langchain-huggingface package and should be used instead. To use it run `pip install -U langchain-huggingface` and import as `from langchain_huggingface import HuggingFaceEmbeddings`.\n",
            "  warn_deprecated(\n",
            "/usr/local/lib/python3.10/dist-packages/sentence_transformers/cross_encoder/CrossEncoder.py:11: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode. Use `tqdm.tqdm` instead to force console mode (e.g. in jupyter console)\n",
            "  from tqdm.autonotebook import tqdm, trange\n",
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: 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",
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          "metadata": {}
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -qU langchain_chroma"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "V-0sQae16azR",
        "outputId": "7609c68b-1f90-408a-aed7-e26d6ab40ad4"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting langchain_chroma\n",
            "  Downloading langchain_chroma-0.1.2-py3-none-any.whl (9.3 kB)\n",
            "Collecting chromadb<0.6.0,>=0.4.0 (from langchain_chroma)\n",
            "  Downloading chromadb-0.5.4-py3-none-any.whl (581 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m581.4/581.4 kB\u001b[0m \u001b[31m4.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting fastapi<1,>=0.95.2 (from langchain_chroma)\n",
            "  Downloading fastapi-0.111.1-py3-none-any.whl (92 kB)\n",
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            "\u001b[?25hRequirement already satisfied: langchain-core<0.3,>=0.1.40 in /usr/local/lib/python3.10/dist-packages (from langchain_chroma) (0.2.22)\n",
            "Requirement already satisfied: numpy<2,>=1 in /usr/local/lib/python3.10/dist-packages (from langchain_chroma) (1.25.2)\n",
            "Requirement already satisfied: build>=1.0.3 in /usr/local/lib/python3.10/dist-packages (from chromadb<0.6.0,>=0.4.0->langchain_chroma) (1.2.1)\n",
            "Requirement already satisfied: pydantic>=1.9 in /usr/local/lib/python3.10/dist-packages (from chromadb<0.6.0,>=0.4.0->langchain_chroma) (2.8.2)\n",
            "Collecting chroma-hnswlib==0.7.5 (from chromadb<0.6.0,>=0.4.0->langchain_chroma)\n",
            "  Downloading chroma_hnswlib-0.7.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB)\n",
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            "\u001b[?25hCollecting uvicorn[standard]>=0.18.3 (from chromadb<0.6.0,>=0.4.0->langchain_chroma)\n",
            "  Downloading uvicorn-0.30.3-py3-none-any.whl (62 kB)\n",
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            "\u001b[?25hCollecting posthog>=2.4.0 (from chromadb<0.6.0,>=0.4.0->langchain_chroma)\n",
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            "\u001b[?25hCollecting opentelemetry-api>=1.2.0 (from chromadb<0.6.0,>=0.4.0->langchain_chroma)\n",
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            "\u001b[?25hCollecting opentelemetry-exporter-otlp-proto-grpc>=1.2.0 (from chromadb<0.6.0,>=0.4.0->langchain_chroma)\n",
            "  Downloading opentelemetry_exporter_otlp_proto_grpc-1.25.0-py3-none-any.whl (18 kB)\n",
            "Collecting opentelemetry-instrumentation-fastapi>=0.41b0 (from chromadb<0.6.0,>=0.4.0->langchain_chroma)\n",
            "  Downloading opentelemetry_instrumentation_fastapi-0.46b0-py3-none-any.whl (11 kB)\n",
            "Collecting opentelemetry-sdk>=1.2.0 (from chromadb<0.6.0,>=0.4.0->langchain_chroma)\n",
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            "\u001b[?25hRequirement already satisfied: tokenizers>=0.13.2 in /usr/local/lib/python3.10/dist-packages (from chromadb<0.6.0,>=0.4.0->langchain_chroma) (0.19.1)\n",
            "Collecting pypika>=0.48.9 (from chromadb<0.6.0,>=0.4.0->langchain_chroma)\n",
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            "\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
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            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers>=0.13.2->chromadb<0.6.0,>=0.4.0->langchain_chroma) (3.15.4)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers>=0.13.2->chromadb<0.6.0,>=0.4.0->langchain_chroma) (2023.6.0)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/dist-packages (from importlib-metadata<=7.1,>=6.0->opentelemetry-api>=1.2.0->chromadb<0.6.0,>=0.4.0->langchain_chroma) (3.19.2)\n",
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            "Collecting humanfriendly>=9.1 (from coloredlogs->onnxruntime>=1.14.1->chromadb<0.6.0,>=0.4.0->langchain_chroma)\n",
            "  Downloading humanfriendly-10.0-py2.py3-none-any.whl (86 kB)\n",
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            "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich>=10.11.0->typer>=0.9.0->chromadb<0.6.0,>=0.4.0->langchain_chroma) (0.1.2)\n",
            "Requirement already satisfied: pyasn1<0.7.0,>=0.4.6 in /usr/local/lib/python3.10/dist-packages (from pyasn1-modules>=0.2.1->google-auth>=1.0.1->kubernetes>=28.1.0->chromadb<0.6.0,>=0.4.0->langchain_chroma) (0.6.0)\n",
            "Building wheels for collected packages: pypika\n",
            "  Building wheel for pypika (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pypika: filename=PyPika-0.48.9-py2.py3-none-any.whl size=53724 sha256=ddaebe292b3255c83e21d93bded4f83dd2faa277e50f3ac3ddeda1a07b4b51f9\n",
            "  Stored in directory: /root/.cache/pip/wheels/e1/26/51/d0bffb3d2fd82256676d7ad3003faea3bd6dddc9577af665f4\n",
            "Successfully built pypika\n",
            "Installing collected packages: pypika, monotonic, mmh3, websockets, uvloop, python-multipart, python-dotenv, overrides, opentelemetry-util-http, opentelemetry-proto, importlib-metadata, humanfriendly, httptools, h11, dnspython, deprecated, chroma-hnswlib, bcrypt, backoff, asgiref, watchfiles, uvicorn, starlette, posthog, opentelemetry-exporter-otlp-proto-common, opentelemetry-api, httpcore, email_validator, coloredlogs, opentelemetry-semantic-conventions, opentelemetry-instrumentation, onnxruntime, kubernetes, httpx, opentelemetry-sdk, opentelemetry-instrumentation-asgi, fastapi-cli, opentelemetry-instrumentation-fastapi, opentelemetry-exporter-otlp-proto-grpc, fastapi, chromadb, langchain_chroma\n",
            "  Attempting uninstall: importlib-metadata\n",
            "    Found existing installation: importlib_metadata 8.0.0\n",
            "    Uninstalling importlib_metadata-8.0.0:\n",
            "      Successfully uninstalled importlib_metadata-8.0.0\n",
            "Successfully installed asgiref-3.8.1 backoff-2.2.1 bcrypt-4.1.3 chroma-hnswlib-0.7.5 chromadb-0.5.4 coloredlogs-15.0.1 deprecated-1.2.14 dnspython-2.6.1 email_validator-2.2.0 fastapi-0.111.1 fastapi-cli-0.0.4 h11-0.14.0 httpcore-1.0.5 httptools-0.6.1 httpx-0.27.0 humanfriendly-10.0 importlib-metadata-7.1.0 kubernetes-30.1.0 langchain_chroma-0.1.2 mmh3-4.1.0 monotonic-1.6 onnxruntime-1.18.1 opentelemetry-api-1.25.0 opentelemetry-exporter-otlp-proto-common-1.25.0 opentelemetry-exporter-otlp-proto-grpc-1.25.0 opentelemetry-instrumentation-0.46b0 opentelemetry-instrumentation-asgi-0.46b0 opentelemetry-instrumentation-fastapi-0.46b0 opentelemetry-proto-1.25.0 opentelemetry-sdk-1.25.0 opentelemetry-semantic-conventions-0.46b0 opentelemetry-util-http-0.46b0 overrides-7.7.0 posthog-3.5.0 pypika-0.48.9 python-dotenv-1.0.1 python-multipart-0.0.9 starlette-0.37.2 uvicorn-0.30.3 uvloop-0.19.0 watchfiles-0.22.0 websockets-12.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain_chroma import Chroma\n",
        "\n",
        "db = Chroma.from_documents(chunks, embeddings)\n",
        "persist_directory = os.path.join(my_dir, \"chroma_db\")\n",
        "vectordb = Chroma.from_documents(\n",
        "    documents=chunks,\n",
        "    embedding=embeddings,\n",
        "    persist_directory=persist_directory\n",
        ")"
      ],
      "metadata": {
        "id": "-r8Rh83x8oyW"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Retreival\n",
        "query = \"Summarize what does it mean to be earnest?\"\n",
        "relevant_docs = vectordb.max_marginal_relevance_search(query)\n",
        "print(type(relevant_docs), len(relevant_docs))\n",
        "print(type(relevant_docs[0]))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2QNQhXg39z-Y",
        "outputId": "d4a5a629-d577-4e28-aae8-1a0b57ab3669"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'list'> 4\n",
            "<class 'langchain_core.documents.base.Document'>\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for d in relevant_docs:\n",
        "    print(f\"--------------------------{len(d.page_content)}----------------------\\n{d.page_content}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "njO51VxP_GBB",
        "outputId": "4cf159fd-85d8-47f9-83af-045a6ec17155"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--------------------------999----------------------\n",
            "The Project Gutenberg eBook of The Importance of Being Earnest: A Trivial Comedy for Serious People\n",
            "    \n",
            "This ebook is for the use of anyone anywhere in the United States and\n",
            "most other parts of the world at no cost and with almost no restrictions\n",
            "whatsoever. You may copy it, give it away or re-use it under the terms\n",
            "of the Project Gutenberg License included with this ebook or online\n",
            "at www.gutenberg.org. If you are not located in the United States,\n",
            "you will have to check the laws of the country where you are located\n",
            "before using this eBook.\n",
            "\n",
            "Title: The Importance of Being Earnest: A Trivial Comedy for Serious People\n",
            "\n",
            "Author: Oscar Wilde\n",
            "\n",
            "Release date: March 1, 1997 [eBook #844]\n",
            "                Most recently updated: February 13, 2021\n",
            "\n",
            "Language: English\n",
            "\n",
            "Credits: David Price\n",
            "\n",
            "\n",
            "*** START OF THE PROJECT GUTENBERG EBOOK THE IMPORTANCE OF BEING EARNEST: A TRIVIAL COMEDY FOR SERIOUS PEOPLE ***\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "The Importance of Being Earnest\n",
            "\n",
            "A Trivial Comedy for Serious People\n",
            "\n",
            "THE PERSONS IN THE PLAY\n",
            "--------------------------979----------------------\n",
            "PART 2\n",
            " CHAPTER TWENTY-FOUR GOSSIP\n",
            " CHAPTER TWENTY-FIVE THE FIRST WEDDING\n",
            " CHAPTER TWENTY-SIX ARTISTIC ATTEMPTS\n",
            " CHAPTER TWENTY-SEVEN LITERARY LESSONS\n",
            " CHAPTER TWENTY-EIGHT DOMESTIC EXPERIENCES\n",
            " CHAPTER TWENTY-NINE CALLS\n",
            " CHAPTER THIRTY CONSEQUENCES\n",
            " CHAPTER THIRTY-ONE OUR FOREIGN CORRESPONDENT\n",
            " CHAPTER THIRTY-TWO TENDER TROUBLES\n",
            " CHAPTER THIRTY-THREE JO’S JOURNAL\n",
            " CHAPTER THIRTY-FOUR FRIEND\n",
            " CHAPTER THIRTY-FIVE HEARTACHE\n",
            " CHAPTER THIRTY-SIX BETH’S SECRET\n",
            " CHAPTER THIRTY-SEVEN NEW IMPRESSIONS\n",
            " CHAPTER THIRTY-EIGHT ON THE SHELF\n",
            " CHAPTER THIRTY-NINE LAZY LAURENCE\n",
            " CHAPTER FORTY THE VALLEY OF THE SHADOW\n",
            " CHAPTER FORTY-ONE LEARNING TO FORGET\n",
            " CHAPTER FORTY-TWO ALL ALONE\n",
            " CHAPTER FORTY-THREE SURPRISES\n",
            " CHAPTER FORTY-FOUR MY LORD AND LADY\n",
            " CHAPTER FORTY-FIVE DAISY AND DEMI\n",
            " CHAPTER FORTY-SIX UNDER THE UMBRELLA\n",
            " CHAPTER FORTY-SEVEN HARVEST TIME\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "PART 1\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "CHAPTER ONE\n",
            "PLAYING PILGRIMS\n",
            "\n",
            "\n",
            "“Christmas won’t be Christmas without any presents,” grumbled Jo, lying\n",
            "on the rug.\n",
            "--------------------------976----------------------\n",
            "GWENDOLEN.\n",
            "Yes, mamma. [Goes out, looking back at Jack.]\n",
            "\n",
            "LADY BRACKNELL.\n",
            "[Sitting down.] You can take a seat, Mr. Worthing.\n",
            "\n",
            "[Looks in her pocket for note-book and pencil.]\n",
            "\n",
            "JACK.\n",
            "Thank you, Lady Bracknell, I prefer standing.\n",
            "\n",
            "LADY BRACKNELL.\n",
            "[Pencil and note-book in hand.] I feel bound to tell you that you are\n",
            "not down on my list of eligible young men, although I have the same\n",
            "list as the dear Duchess of Bolton has. We work together, in fact.\n",
            "However, I am quite ready to enter your name, should your answers be\n",
            "what a really affectionate mother requires. Do you smoke?\n",
            "\n",
            "JACK.\n",
            "Well, yes, I must admit I smoke.\n",
            "\n",
            "LADY BRACKNELL.\n",
            "I am glad to hear it. A man should always have an occupation of some\n",
            "kind. There are far too many idle men in London as it is. How old are\n",
            "you?\n",
            "\n",
            "JACK.\n",
            "Twenty-nine.\n",
            "\n",
            "LADY BRACKNELL.\n",
            "A very good age to be married at. I have always been of opinion that a\n",
            "man who desires to get married should know either everything or\n",
            "nothing. Which do you know?\n",
            "--------------------------760----------------------\n",
            "FIRST ACT\n",
            "\n",
            "\n",
            "SCENE\n",
            "\n",
            "Morning-room in Algernon’s flat in Half-Moon Street. The room is\n",
            "luxuriously and artistically furnished. The sound of a piano is heard\n",
            "in the adjoining room.\n",
            "\n",
            "[Lane is arranging afternoon tea on the table, and after the music has\n",
            "ceased, Algernon enters.]\n",
            "\n",
            "ALGERNON.\n",
            "Did you hear what I was playing, Lane?\n",
            "\n",
            "LANE.\n",
            "I didn’t think it polite to listen, sir.\n",
            "\n",
            "ALGERNON.\n",
            "I’m sorry for that, for your sake. I don’t play accurately—any one can\n",
            "play accurately—but I play with wonderful expression. As far as the\n",
            "piano is concerned, sentiment is my forte. I keep science for Life.\n",
            "\n",
            "LANE.\n",
            "Yes, sir.\n",
            "\n",
            "ALGERNON.\n",
            "And, speaking of the science of Life, have you got the cucumber\n",
            "sandwiches cut for Lady Bracknell?\n",
            "\n",
            "LANE.\n",
            "Yes, sir. [Hands them on a salver.]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#qa using an llm\n",
        "!pip install -qU langchain-groq"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qYCXL_j6AbFj",
        "outputId": "b54e8a9b-a1a3-4d24-dec2-237d28eb1b0c"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/103.5 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m102.4/103.5 kB\u001b[0m \u001b[31m3.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m103.5/103.5 kB\u001b[0m \u001b[31m2.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "GROQ_API_KEY = \"ENTER KEY HERE\""
      ],
      "metadata": {
        "id": "FVMGZ8YdBBin"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain_groq import ChatGroq\n",
        "from langchain_core.prompts import ChatPromptTemplate\n",
        "\n",
        "llm = ChatGroq(\n",
        "    model = \"llama3-70b-8192\",\n",
        "    temperature=0,\n",
        "    api_key=GROQ_API_KEY\n",
        ")\n",
        "\n",
        "system = \"You are a helpful assistant. Answer the user's query based on the given context. DO NOT MAKE ANSWERS UP.\"\n",
        "human = \"\"\"Answer the following question based on the given context:\n",
        "{question}\n",
        "\n",
        "Context: {context}\"\"\"\n",
        "prompt = ChatPromptTemplate.from_messages([\n",
        "    (\"system\", system),\n",
        "    (\"human\", human)\n",
        "])\n",
        "\n",
        "chain = ChatPromptTemplate.from_messages([\n",
        "    (\"system\", system),\n",
        "    (\"human\", human)\n",
        "])\n",
        "\n",
        "chain = prompt | llm"
      ],
      "metadata": {
        "id": "pHt9EPZjBL62"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#relevant docs is a list of Document Objects\n",
        "context = \"\\n\".join([d.page_content for d in relevant_docs])\n",
        "\n",
        "response = chain.invoke({\"question\": query, \"context\": context})\n",
        "print(response.content)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "u0VjSDOXC-oV",
        "outputId": "12dd3a2d-1a8f-4032-d4d6-f003e4021a39"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Based on the context of the play \"The Importance of Being Earnest\" by Oscar Wilde, being earnest means being sincere, genuine, and truthful. It implies being free from deceit, hypocrisy, and pretence. In the play, the characters often use the term \"earnest\" to describe someone who is honest, trustworthy, and morally upright. However, the play also satirizes the social conventions of the time, suggesting that being earnest can sometimes be a superficial quality, and that people may use it as a mask to hide their true intentions.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "zbe5M9SoFLSf"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}