TextSplitter&Embeddings.ipynb

{
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  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cAMnvxjbBQam",
        "outputId": "dede9f2f-48e9-4f98-83f7-9e9eb8db7a20"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.0/1.0 MB\u001b[0m \u001b[31m42.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading langchain_core-0.3.21-py3-none-any.whl (409 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m409.5/409.5 kB\u001b[0m \u001b[31m23.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading pydantic_settings-2.6.1-py3-none-any.whl (28 kB)\n",
            "Downloading SQLAlchemy-2.0.35-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.1/3.1 MB\u001b[0m \u001b[31m56.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading marshmallow-3.23.1-py3-none-any.whl (49 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.5/49.5 kB\u001b[0m \u001b[31m3.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading python_dotenv-1.0.1-py3-none-any.whl (19 kB)\n",
            "Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)\n",
            "Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\n",
            "Installing collected packages: SQLAlchemy, python-dotenv, mypy-extensions, marshmallow, httpx-sse, typing-inspect, pydantic-settings, dataclasses-json, langchain-core, langchain, langchain_community\n",
            "  Attempting uninstall: SQLAlchemy\n",
            "    Found existing installation: SQLAlchemy 2.0.36\n",
            "    Uninstalling SQLAlchemy-2.0.36:\n",
            "      Successfully uninstalled SQLAlchemy-2.0.36\n",
            "  Attempting uninstall: langchain-core\n",
            "    Found existing installation: langchain-core 0.3.19\n",
            "    Uninstalling langchain-core-0.3.19:\n",
            "      Successfully uninstalled langchain-core-0.3.19\n",
            "  Attempting uninstall: langchain\n",
            "    Found existing installation: langchain 0.3.7\n",
            "    Uninstalling langchain-0.3.7:\n",
            "      Successfully uninstalled langchain-0.3.7\n",
            "Successfully installed SQLAlchemy-2.0.35 dataclasses-json-0.6.7 httpx-sse-0.4.0 langchain-0.3.9 langchain-core-0.3.21 langchain_community-0.3.8 marshmallow-3.23.1 mypy-extensions-1.0.0 pydantic-settings-2.6.1 python-dotenv-1.0.1 typing-inspect-0.9.0\n"
          ]
        }
      ],
      "source": [
        "!pip install langchain\n",
        "!pip install langchain_groq\n",
        "!pip install langchain_community"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain_groq import ChatGroq\n",
        "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
        "from langchain.prompts import ChatPromptTemplate,FewShotChatMessagePromptTemplate\n",
        "from langchain_community.document_loaders import TextLoader\n",
        "from langchain.embeddings import"
      ],
      "metadata": {
        "id": "c1388TwmBYZX"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data = TextLoader(\"/content/sample-1.txt\")\n",
        "text = data.load()"
      ],
      "metadata": {
        "id": "sALeQRo0COH_"
      },
      "execution_count": 84,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "text[0].page_content.replace(\"\\n\\n\",\" \").replace(\"\\n\\n\\n\",\" \").split(\"\\n\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d4A4UrjICuIw",
        "outputId": "f9b5c57b-b51a-428b-f244-accca9c97711"
      },
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['\\ufeffSample Document Fusce convallis metus id felis luctus adipiscing. Pellentesque egestas, neque sit amet convallis pulvinar, justo nulla eleifend augue, ac auctor orci leo non est. Fusce vel dui. Sed augue ipsum, egestas nec, vestibulum et, malesuada adipiscing, dui. Phasellus viverra nulla ut metus varius laoreet. ',\n",
              " 'Nulla facilisi. Phasellus accumsan cursus velit. Curabitur at lacus ac velit ornare lobortis. Maecenas vestibulum mollis diam. Phasellus blandit leo ut odio. ',\n",
              " 'Praesent ac massa at ligula laoreet iaculis. Pellentesque dapibus hendrerit tortor. Nam commodo suscipit quam. Sed a libero. Nullam nulla eros, ultricies sit amet, nonummy id, imperdiet feugiat, pede. ',\n",
              " 'Pellentesque egestas, neque sit amet convallis pulvinar, justo nulla eleifend augue, ac auctor orci leo non est. Curabitur ullamcorper ultricies nisi. Pellentesque posuere. Fusce fermentum. Morbi vestibulum volutpat enim. ',\n",
              " 'In enim justo, rhoncus ut, imperdiet a, venenatis vitae, justo. Curabitur a felis in nunc fringilla tristique. Donec mollis hendrerit risus. Vestibulum turpis sem, aliquet eget, lobortis pellentesque, rutrum eu, nisl. Proin magna.']"
            ]
          },
          "metadata": {},
          "execution_count": 85
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from logging import raiseExceptions\n",
        "def text_split(text,chunk_size=100,chunk_overlap=50):\n",
        "  if not isinstance(text, str):\n",
        "    text = str(text)\n",
        "    text_splitter= RecursiveCharacterTextSplitter(chunk_size=chunk_size, chunk_overlap=chunk_overlap)\n",
        "    texts = text_splitter.split_text(text)\n",
        "    return texts\n",
        "\n",
        "\n",
        "data = text_split(text)\n",
        "data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xQaCRsxKCvwr",
        "outputId": "f7716231-824a-4dd9-98f2-1fae2c9c62c0"
      },
      "execution_count": 86,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[\"[Document(metadata={'source': '/content/sample-1.txt'}, page_content='\\\\ufeffSample Document\\\\n\\\\nFusce\",\n",
              " \"page_content='\\\\ufeffSample Document\\\\n\\\\nFusce convallis metus id felis luctus adipiscing.\",\n",
              " 'convallis metus id felis luctus adipiscing. Pellentesque egestas, neque sit amet convallis',\n",
              " 'Pellentesque egestas, neque sit amet convallis pulvinar, justo nulla eleifend augue, ac auctor orci',\n",
              " 'justo nulla eleifend augue, ac auctor orci leo non est. Fusce vel dui. Sed augue ipsum, egestas',\n",
              " 'non est. Fusce vel dui. Sed augue ipsum, egestas nec, vestibulum et, malesuada adipiscing, dui.',\n",
              " 'nec, vestibulum et, malesuada adipiscing, dui. Phasellus viverra nulla ut metus varius',\n",
              " 'dui. Phasellus viverra nulla ut metus varius laoreet.\\\\n\\\\n\\\\nNulla facilisi. Phasellus accumsan',\n",
              " 'laoreet.\\\\n\\\\n\\\\nNulla facilisi. Phasellus accumsan cursus velit. Curabitur at lacus ac velit ornare',\n",
              " 'cursus velit. Curabitur at lacus ac velit ornare lobortis. Maecenas vestibulum mollis diam.',\n",
              " 'ornare lobortis. Maecenas vestibulum mollis diam. Phasellus blandit leo ut odio.\\\\n\\\\n\\\\nPraesent ac',\n",
              " 'Phasellus blandit leo ut odio.\\\\n\\\\n\\\\nPraesent ac massa at ligula laoreet iaculis. Pellentesque',\n",
              " 'ac massa at ligula laoreet iaculis. Pellentesque dapibus hendrerit tortor. Nam commodo suscipit',\n",
              " 'dapibus hendrerit tortor. Nam commodo suscipit quam. Sed a libero. Nullam nulla eros, ultricies sit',\n",
              " 'Sed a libero. Nullam nulla eros, ultricies sit amet, nonummy id, imperdiet feugiat,',\n",
              " 'sit amet, nonummy id, imperdiet feugiat, pede.\\\\n\\\\n\\\\nPellentesque egestas, neque sit amet convallis',\n",
              " 'egestas, neque sit amet convallis pulvinar, justo nulla eleifend augue, ac auctor orci leo non est.',\n",
              " 'nulla eleifend augue, ac auctor orci leo non est. Curabitur ullamcorper ultricies nisi.',\n",
              " 'non est. Curabitur ullamcorper ultricies nisi. Pellentesque posuere. Fusce fermentum. Morbi',\n",
              " 'Pellentesque posuere. Fusce fermentum. Morbi vestibulum volutpat enim.\\\\n\\\\n\\\\nIn enim justo, rhoncus',\n",
              " 'volutpat enim.\\\\n\\\\n\\\\nIn enim justo, rhoncus ut, imperdiet a, venenatis vitae, justo. Curabitur a',\n",
              " 'imperdiet a, venenatis vitae, justo. Curabitur a felis in nunc fringilla tristique. Donec mollis',\n",
              " 'a felis in nunc fringilla tristique. Donec mollis hendrerit risus. Vestibulum turpis sem, aliquet',\n",
              " 'hendrerit risus. Vestibulum turpis sem, aliquet eget, lobortis pellentesque, rutrum eu, nisl. Proin',\n",
              " \"lobortis pellentesque, rutrum eu, nisl. Proin magna.')]\"]"
            ]
          },
          "metadata": {},
          "execution_count": 86
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(data)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4VohvFEUDy_6",
        "outputId": "fdf99ad9-f782-427d-dc61-156144b6e699"
      },
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "25"
            ]
          },
          "metadata": {},
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BeOrdvxGTk_5",
        "outputId": "1d26d508-6e5d-4988-92da-c6b2918fcf28"
      },
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[\"[Document(metadata={'source': '/content/sample-1.txt'}, page_content='\\\\ufeffSample Document\\\\n\\\\nFusce\",\n",
              " \"page_content='\\\\ufeffSample Document\\\\n\\\\nFusce convallis metus id felis luctus adipiscing.\",\n",
              " 'convallis metus id felis luctus adipiscing. Pellentesque egestas, neque sit amet convallis',\n",
              " 'Pellentesque egestas, neque sit amet convallis pulvinar, justo nulla eleifend augue, ac auctor orci',\n",
              " 'justo nulla eleifend augue, ac auctor orci leo non est. Fusce vel dui. Sed augue ipsum, egestas',\n",
              " 'non est. Fusce vel dui. Sed augue ipsum, egestas nec, vestibulum et, malesuada adipiscing, dui.',\n",
              " 'nec, vestibulum et, malesuada adipiscing, dui. Phasellus viverra nulla ut metus varius',\n",
              " 'dui. Phasellus viverra nulla ut metus varius laoreet.\\\\n\\\\n\\\\nNulla facilisi. Phasellus accumsan',\n",
              " 'laoreet.\\\\n\\\\n\\\\nNulla facilisi. Phasellus accumsan cursus velit. Curabitur at lacus ac velit ornare',\n",
              " 'cursus velit. Curabitur at lacus ac velit ornare lobortis. Maecenas vestibulum mollis diam.',\n",
              " 'ornare lobortis. Maecenas vestibulum mollis diam. Phasellus blandit leo ut odio.\\\\n\\\\n\\\\nPraesent ac',\n",
              " 'Phasellus blandit leo ut odio.\\\\n\\\\n\\\\nPraesent ac massa at ligula laoreet iaculis. Pellentesque',\n",
              " 'ac massa at ligula laoreet iaculis. Pellentesque dapibus hendrerit tortor. Nam commodo suscipit',\n",
              " 'dapibus hendrerit tortor. Nam commodo suscipit quam. Sed a libero. Nullam nulla eros, ultricies sit',\n",
              " 'Sed a libero. Nullam nulla eros, ultricies sit amet, nonummy id, imperdiet feugiat,',\n",
              " 'sit amet, nonummy id, imperdiet feugiat, pede.\\\\n\\\\n\\\\nPellentesque egestas, neque sit amet convallis',\n",
              " 'egestas, neque sit amet convallis pulvinar, justo nulla eleifend augue, ac auctor orci leo non est.',\n",
              " 'nulla eleifend augue, ac auctor orci leo non est. Curabitur ullamcorper ultricies nisi.',\n",
              " 'non est. Curabitur ullamcorper ultricies nisi. Pellentesque posuere. Fusce fermentum. Morbi',\n",
              " 'Pellentesque posuere. Fusce fermentum. Morbi vestibulum volutpat enim.\\\\n\\\\n\\\\nIn enim justo, rhoncus',\n",
              " 'volutpat enim.\\\\n\\\\n\\\\nIn enim justo, rhoncus ut, imperdiet a, venenatis vitae, justo. Curabitur a',\n",
              " 'imperdiet a, venenatis vitae, justo. Curabitur a felis in nunc fringilla tristique. Donec mollis',\n",
              " 'a felis in nunc fringilla tristique. Donec mollis hendrerit risus. Vestibulum turpis sem, aliquet',\n",
              " 'hendrerit risus. Vestibulum turpis sem, aliquet eget, lobortis pellentesque, rutrum eu, nisl. Proin',\n",
              " \"lobortis pellentesque, rutrum eu, nisl. Proin magna.')]\"]"
            ]
          },
          "metadata": {},
          "execution_count": 88
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Now Convert this text into embeddings\n",
        "%pip install langchain_huggingface"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qwTXWLfQFtLa",
        "outputId": "39c1902c-6f61-4a25-d43b-8688ece140a9"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting langchain_huggingface\n",
            "  Downloading langchain_huggingface-0.1.2-py3-none-any.whl.metadata (1.3 kB)\n",
            "Requirement already satisfied: huggingface-hub>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from langchain_huggingface) (0.26.2)\n",
            "Requirement already satisfied: langchain-core<0.4.0,>=0.3.15 in /usr/local/lib/python3.10/dist-packages (from langchain_huggingface) (0.3.21)\n",
            "Requirement already satisfied: sentence-transformers>=2.6.0 in /usr/local/lib/python3.10/dist-packages (from langchain_huggingface) (3.2.1)\n",
            "Requirement already satisfied: tokenizers>=0.19.1 in /usr/local/lib/python3.10/dist-packages (from langchain_huggingface) (0.20.3)\n",
            "Requirement already satisfied: transformers>=4.39.0 in /usr/local/lib/python3.10/dist-packages (from langchain_huggingface) (4.46.2)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.0->langchain_huggingface) (3.16.1)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.0->langchain_huggingface) (2024.10.0)\n",
            "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.0->langchain_huggingface) (24.2)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.0->langchain_huggingface) (6.0.2)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.0->langchain_huggingface) (2.32.3)\n",
            "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.0->langchain_huggingface) (4.66.6)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.0->langchain_huggingface) (4.12.2)\n",
            "Requirement already satisfied: jsonpatch<2.0,>=1.33 in /usr/local/lib/python3.10/dist-packages (from langchain-core<0.4.0,>=0.3.15->langchain_huggingface) (1.33)\n",
            "Requirement already satisfied: langsmith<0.2.0,>=0.1.125 in /usr/local/lib/python3.10/dist-packages (from langchain-core<0.4.0,>=0.3.15->langchain_huggingface) (0.1.143)\n",
            "Requirement already satisfied: pydantic<3.0.0,>=2.5.2 in /usr/local/lib/python3.10/dist-packages (from langchain-core<0.4.0,>=0.3.15->langchain_huggingface) (2.9.2)\n",
            "Requirement already satisfied: tenacity!=8.4.0,<10.0.0,>=8.1.0 in /usr/local/lib/python3.10/dist-packages (from langchain-core<0.4.0,>=0.3.15->langchain_huggingface) (9.0.0)\n",
            "Requirement already satisfied: torch>=1.11.0 in /usr/local/lib/python3.10/dist-packages (from sentence-transformers>=2.6.0->langchain_huggingface) (2.5.1+cu121)\n",
            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (from sentence-transformers>=2.6.0->langchain_huggingface) (1.5.2)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from sentence-transformers>=2.6.0->langchain_huggingface) (1.13.1)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from sentence-transformers>=2.6.0->langchain_huggingface) (11.0.0)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.39.0->langchain_huggingface) (1.26.4)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.39.0->langchain_huggingface) (2024.9.11)\n",
            "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.39.0->langchain_huggingface) (0.4.5)\n",
            "Requirement already satisfied: jsonpointer>=1.9 in /usr/local/lib/python3.10/dist-packages (from jsonpatch<2.0,>=1.33->langchain-core<0.4.0,>=0.3.15->langchain_huggingface) (3.0.0)\n",
            "Requirement already satisfied: httpx<1,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from langsmith<0.2.0,>=0.1.125->langchain-core<0.4.0,>=0.3.15->langchain_huggingface) (0.27.2)\n",
            "Requirement already satisfied: orjson<4.0.0,>=3.9.14 in /usr/local/lib/python3.10/dist-packages (from langsmith<0.2.0,>=0.1.125->langchain-core<0.4.0,>=0.3.15->langchain_huggingface) (3.10.11)\n",
            "Requirement already satisfied: requests-toolbelt<2.0.0,>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from langsmith<0.2.0,>=0.1.125->langchain-core<0.4.0,>=0.3.15->langchain_huggingface) (1.0.0)\n",
            "Requirement already satisfied: annotated-types>=0.6.0 in /usr/local/lib/python3.10/dist-packages (from pydantic<3.0.0,>=2.5.2->langchain-core<0.4.0,>=0.3.15->langchain_huggingface) (0.7.0)\n",
            "Requirement already satisfied: pydantic-core==2.23.4 in /usr/local/lib/python3.10/dist-packages (from pydantic<3.0.0,>=2.5.2->langchain-core<0.4.0,>=0.3.15->langchain_huggingface) (2.23.4)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.23.0->langchain_huggingface) (3.4.0)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.23.0->langchain_huggingface) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.23.0->langchain_huggingface) (2.2.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.23.0->langchain_huggingface) (2024.8.30)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.11.0->sentence-transformers>=2.6.0->langchain_huggingface) (3.4.2)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.11.0->sentence-transformers>=2.6.0->langchain_huggingface) (3.1.4)\n",
            "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch>=1.11.0->sentence-transformers>=2.6.0->langchain_huggingface) (1.13.1)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch>=1.11.0->sentence-transformers>=2.6.0->langchain_huggingface) (1.3.0)\n",
            "Requirement already satisfied: joblib>=1.2.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->sentence-transformers>=2.6.0->langchain_huggingface) (1.4.2)\n",
            "Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->sentence-transformers>=2.6.0->langchain_huggingface) (3.5.0)\n",
            "Requirement already satisfied: anyio in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->langsmith<0.2.0,>=0.1.125->langchain-core<0.4.0,>=0.3.15->langchain_huggingface) (3.7.1)\n",
            "Requirement already satisfied: httpcore==1.* in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->langsmith<0.2.0,>=0.1.125->langchain-core<0.4.0,>=0.3.15->langchain_huggingface) (1.0.7)\n",
            "Requirement already satisfied: sniffio in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->langsmith<0.2.0,>=0.1.125->langchain-core<0.4.0,>=0.3.15->langchain_huggingface) (1.3.1)\n",
            "Requirement already satisfied: h11<0.15,>=0.13 in /usr/local/lib/python3.10/dist-packages (from httpcore==1.*->httpx<1,>=0.23.0->langsmith<0.2.0,>=0.1.125->langchain-core<0.4.0,>=0.3.15->langchain_huggingface) (0.14.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.11.0->sentence-transformers>=2.6.0->langchain_huggingface) (3.0.2)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio->httpx<1,>=0.23.0->langsmith<0.2.0,>=0.1.125->langchain-core<0.4.0,>=0.3.15->langchain_huggingface) (1.2.2)\n",
            "Downloading langchain_huggingface-0.1.2-py3-none-any.whl (21 kB)\n",
            "Installing collected packages: langchain_huggingface\n",
            "Successfully installed langchain_huggingface-0.1.2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain_huggingface.embeddings import HuggingFaceEmbeddings\n",
        "def embeddings(data):\n",
        "  if not isinstance(data, str):\n",
        "    data = str(data)\n",
        "    embeddings = HuggingFaceEmbeddings()\n",
        "    vector = embeddings.embed_query(data)\n",
        "    return vector\n",
        "\n",
        "result_vectors=embeddings(data)"
      ],
      "metadata": {
        "id": "G-tlSDYEGY2-"
      },
      "execution_count": 89,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "result_vectors"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lbU5IovHGdBl",
        "outputId": "e3975b1b-fddb-4521-e876-a7ccf9819489"
      },
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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          },
          "metadata": {},
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "nURlYO4STC49"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}