{ "cells": [ { "cell_type": "markdown", "id": "39af9ecd", "metadata": {}, "source": [ "# Word Documents\n", "\n", "This covers how to load Word documents into a document format that we can use downstream." ] }, { "cell_type": "code", "execution_count": 1, "id": "721c48aa", "metadata": {}, "outputs": [], "source": [ "from langchain.document_loaders import UnstructuredWordDocumentLoader" ] }, { "cell_type": "code", "execution_count": 2, "id": "9d3d0e35", "metadata": {}, "outputs": [], "source": [ "loader = UnstructuredWordDocumentLoader(\"example_data/fake.docx\")" ] }, { "cell_type": "code", "execution_count": 3, "id": "06073f91", "metadata": {}, "outputs": [], "source": [ "data = loader.load()" ] }, { "cell_type": "code", "execution_count": 4, "id": "c9adc5cb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': 'fake.docx'}, lookup_index=0)]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data" ] }, { "cell_type": "markdown", "id": "525d6b67", "metadata": {}, "source": [ "## Retain Elements\n", "\n", "Under the hood, Unstructured creates different \"elements\" for different chunks of text. By default we combine those together, but you can easily keep that separation by specifying `mode=\"elements\"`." ] }, { "cell_type": "code", "execution_count": 5, "id": "064f9162", "metadata": {}, "outputs": [], "source": [ "loader = UnstructuredWordDocumentLoader(\"example_data/fake.docx\", mode=\"elements\")" ] }, { "cell_type": "code", "execution_count": 6, "id": "abefbbdb", "metadata": {}, "outputs": [], "source": [ "data = loader.load()" ] }, { "cell_type": "code", "execution_count": 7, "id": "a547c534", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': 'fake.docx', 'filename': 'fake.docx', 'category': 'Title'}, lookup_index=0)" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data[0]" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.13" } }, "nbformat": 4, "nbformat_minor": 5 }