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langchain/docs/modules/document_loaders/examples/word_document.ipynb

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{
"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"
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},
"nbformat": 4,
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}