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docs: improve document loaders index (#25365)
Co-authored-by: Erick Friis <erick@langchain.dev>
This commit is contained in:
Harrison Chase
GitHub
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@ -7,6 +7,39 @@ sidebar_class_name: hidden
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import { CategoryTable, IndexTable } from "@theme/FeatureTables";
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DocumentLoaders load data into the standard LangChain Document format.
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Each DocumentLoader has its own specific parameters, but they can all be invoked in the same way with the .load method.
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An example use case is as follows:
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```python
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from langchain_community.document_loaders.csv_loader import CSVLoader
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loader = CSVLoader(
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... # <-- Integration specific parameters here
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)
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data = loader.load()
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```
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## Common File Types
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The below document loaders allow you to load data from common data formats.
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<CategoryTable category="common_loaders" />
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## PDFs
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The below document loaders allow you to load documents.
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<CategoryTable category="pdf_loaders" />
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## Webpages
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The below document loaders allow you to load webpages.
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<CategoryTable category="webpage_loaders" />
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## All document loaders
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<IndexTable />
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@ -6,7 +6,7 @@
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"source": [
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"# PyPDFLoader\n",
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"\n",
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"This notebook provides a quick overview for getting started with `PyPDF` [document loader](https://python.langchain.com/v0.2/docs/concepts/#document-loaders). For detailed documentation of all __ModuleName__Loader features and configurations head to the [API reference](https://api.python.langchain.com/en/latest/document_loaders/langchain_community.document_loaders.pdf.PyPDFLoader.html).\n",
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"This notebook provides a quick overview for getting started with `PyPDF` [document loader](https://python.langchain.com/v0.2/docs/concepts/#document-loaders). For detailed documentation of all DocumentLoader features and configurations head to the [API reference](https://api.python.langchain.com/en/latest/document_loaders/langchain_community.document_loaders.pdf.PyPDFLoader.html).\n",
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"\n",
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"\n",
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"## Overview\n",
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@ -43,7 +43,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain_community"
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"%pip install -qU langchain_community pypdf"
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]
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},
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{
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@ -180,7 +180,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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@ -194,9 +194,9 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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"version": "3.10.1"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}
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@ -44,7 +44,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain_community"
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"%pip install -qU langchain_community beautifulsoup4"
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]
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},
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{
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@ -330,7 +330,10 @@
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"cell_type": "markdown",
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"id": "672264ad",
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"source": [
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"## Using proxies\n",
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@ -343,7 +346,10 @@
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"execution_count": null,
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"id": "9caf0310",
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [],
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"source": [
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@ -384,7 +390,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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"version": "3.10.1"
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}
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},
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"nbformat": 4,
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@ -440,6 +440,108 @@ const FEATURE_TABLES = {
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columns: [],
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items: [],
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},
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webpage_loaders: {
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link: 'docs/integrations/loaders',
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columns: [
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{title: "Document Loader", formatter: (item) => <a href={
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item.link
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}>{item.name}</a>},
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{title: "Description", formatter: (item) => item.source},
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{title: "Package/API", formatter: (item) => item.api},
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],
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items: [
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{
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name: "Web",
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link: "web_base",
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source: "Uses urllib and BeautifulSoup to load and parse HTML web pages",
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api: "Package",
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apiLink: "https://api.python.langchain.com/en/latest/document_loaders/langchain_community.document_loaders.web_base.WebBaseLoader.html"
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},
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{
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name: "RecursiveURL",
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link: "recursive_url",
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source: "Recursively scrapes all child links from a root URL",
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api: "Package",
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apiLink: "https://api.python.langchain.com/en/latest/document_loaders/langchain_community.document_loaders.recursive_url_loader.RecursiveUrlLoader.html"
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},
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{
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name: "Sitemap",
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link: "sitemap",
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source: "Scrapes all pages on a given sitemap",
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api: "Package",
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apiLink: "https://api.python.langchain.com/en/latest/document_loaders/langchain_community.document_loaders.sitemap.SitemapLoader.html"
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},
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{
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name: "Firecrawl",
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link: "firecrawl",
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source: "API service that can be deployed locally, hosted version has free credits.",
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api: "API",
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apiLink: "https://api.python.langchain.com/en/latest/document_loaders/langchain_community.document_loaders.firecrawl.FireCrawlLoader.html"
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}
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]
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},
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pdf_loaders: {
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link: 'docs/integrations/loaders',
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columns: [
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{title: "Document Loader", formatter: (item) => <a href={
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item.link
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}>{item.name}</a>},
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{title: "Description", formatter: (item) => item.source},
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{title: "Package/API", formatter: (item) => item.api},
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],
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items: [
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{
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name: "PyPDF",
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link: "pypdfloader",
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source: "Uses `pypdf` to load and parse PDFs",
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api: "Package",
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apiLink: "https://api.python.langchain.com/en/latest/document_loaders/langchain_community.document_loaders.pdf.PyPDFLoader.html"
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},
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{
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name: "Unstructured",
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link: "unstructured_file",
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source: "Uses Unstructured's open source library to load PDFs",
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api: "Package",
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apiLink: "https://api.python.langchain.com/en/latest/document_loaders/langchain_unstructured.document_loaders.UnstructuredLoader.html"
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},
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{
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name: "Amazon Textract",
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link: "amazon_textract",
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source: "Uses AWS API to load PDFs",
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api: "API",
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apiLink: "https://api.python.langchain.com/en/latest/document_loaders/langchain_community.document_loaders.pdf.AmazonTextractPDFLoader.html"
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}
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]
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},
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common_loaders: {
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link: 'docs/integrations/loaders',
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columns: [
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{title: "Document Loader", formatter: (item) => <a href={
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item.link
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}>{item.name}</a>},
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{title: "Data Type", formatter: (item) => item.source},
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],
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items: [
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{
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name: "CSVLoader",
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link: "csv",
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source: "CSV files",
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apiLink: "https://api.python.langchain.com/en/latest/document_loaders/langchain_community.document_loaders.csv_loader.CSVLoader.html"
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},
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{
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name: "DirectoryLoader",
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link: "document_loader_directory",
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source: "All files in a given directory",
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apiLink: "https://api.python.langchain.com/en/latest/document_loaders/langchain_community.document_loaders.directory.DirectoryLoader.html"
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},
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{
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name: "Unstructured",
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link: "unstructured_file",
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source: "All file types",
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apiLink: "https://api.python.langchain.com/en/latest/document_loaders/langchain_unstructured.document_loaders.UnstructuredLoader.html"
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},
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]
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},
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vectorstores: {
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link: 'docs/integrations/vectorstores',
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columns: [
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@ -237,7 +237,7 @@ class PyPDFLoader(BasePDFLoader):
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import pypdf # noqa:F401
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except ImportError:
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raise ImportError(
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"pypdf package not found, please install it with " "`pip install pypdf`"
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"pypdf package not found, please install it with `pip install pypdf`"
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)
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super().__init__(file_path, headers=headers)
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self.parser = PyPDFParser(
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