Remove redundant .docx loader (closes #1716) + update how_to_guides.rst (#1891)

In https://github.com/hwchase17/langchain/issues/1716 , it was
identified that there were two .py files performing similar tasks. As a
resolution, one of the files has been removed, as its purpose had
already been fulfilled by the other file. Additionally, the init has
been updated accordingly.

Furthermore, the how_to_guides.rst file has been updated to include
links to documentation that was previously missing. This was deemed
necessary as the existing list on
https://langchain.readthedocs.io/en/latest/modules/document_loaders/how_to_guides.html
was incomplete, causing confusion for users who rely on the full list of
documentation on the left sidebar of the website.

docs/modules/document_loaders/examples/microsoft_word.ipynb

@@ -1,145 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "34c90eed",
-   "metadata": {},
-   "source": [
-    "# Microsoft Word\n",
-    "\n",
-    "This notebook shows how to load text from Microsoft word documents."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "28ded768",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from langchain.document_loaders import UnstructuredDocxLoader"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "f1f26035",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "loader = UnstructuredDocxLoader('example_data/fake.docx')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "2c87dde9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data = loader.load()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "0e4a884c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': 'example_data/fake.docx'}, lookup_index=0)]"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5d1472e9",
-   "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": 2,
-   "id": "93abf60b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "loader = UnstructuredDocxLoader('example_data/fake.docx', mode=\"elements\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "c35cdbcc",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data = loader.load()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "fae2d730",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': 'example_data/fake.docx'}, lookup_index=0)]"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "961a7b1d",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "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": "3.9.1"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

docs/modules/document_loaders/examples/word_document.ipynb

@@ -27,7 +27,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "loader = UnstructuredWordDocumentLoader(\"fake.docx\")"
+    "loader = UnstructuredWordDocumentLoader(\"example_data/fake.docx\")"
    ]
   },
   {
@@ -78,7 +78,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "loader = UnstructuredWordDocumentLoader(\"fake.docx\", mode=\"elements\")"
+    "loader = UnstructuredWordDocumentLoader(\"example_data/fake.docx\", mode=\"elements\")"
    ]
   },
   {

docs/modules/document_loaders/how_to_guides.rst

@@ -21,8 +21,6 @@ There are a lot of different document loaders that LangChain supports. Below are
 
 `GoogleDrive <./examples/googledrive.html>`_: A walkthrough of how to load data from Google drive.
 
-`Microsoft Word <./examples/microsoft_word.html>`_: A walkthrough of how to load data from Microsoft Word files.
-
 `Obsidian <./examples/obsidian.html>`_: A walkthrough of how to load data from an Obsidian file dump.
 
 `Roam <./examples/roam.html>`_: A walkthrough of how to load data from a Roam file export.
@@ -59,6 +57,26 @@ There are a lot of different document loaders that LangChain supports. Below are
 
 `iFixit <./examples/ifixit.html>`_: A walkthrough of how to search and load data like guides, technical Q&A's, and device wikis from iFixit.com
 
+`Notebook <./examples/notebook.html>`_: A walkthrough of how to load data from .ipynb notebook.
+
+`Copypaste <./examples/copypaste.html>`_: A walkthrough of how to load a document object from something you just want to copy and paste.
+
+`CSV <./examples/csv.html>`_: A walkthrough of how to load data from a .csv file.
+
+`Facebook Chat <./examples/facebook_chat.html>`_: A walkthrough of how to load data from a Facebook Chat json file.
+
+`Image <./examples/image.html>`_: A walkthrough of how to load images such as JPGs PNGs into a document format that can be used downstream.
+
+`Markdown <./examples/markdown.html>`_: A walkthrough of how to load data from a markdown file.
+
+`SRT <./examples/srt.html>`_: A walkthrough of how to load data from a subtitle (`.srt`) file.
+
+`Telegram <./examples/telegram.html>`_: A walkthrough of how to load data from a Telegram Chat json file.
+
+`URL <./examples/url.html>`_: A walkthrough of how to load HTML documents from a list of URLs into a document format that we can use downstream.
+
+`Word Document <./examples/word_document.html>`_: A walkthrough of how to load data from Microsoft Word files.
+
 `Blackboard <./examples/blackboard.html>`_: A walkthrough of how to load data from a Blackboard course.
 
 .. toctree::

langchain/document_loaders/__init__.py

@@ -7,7 +7,6 @@ from langchain.document_loaders.college_confidential import CollegeConfidentialL
 from langchain.document_loaders.conllu import CoNLLULoader
 from langchain.document_loaders.csv_loader import CSVLoader
 from langchain.document_loaders.directory import DirectoryLoader
-from langchain.document_loaders.docx import UnstructuredDocxLoader
 from langchain.document_loaders.email import UnstructuredEmailLoader
 from langchain.document_loaders.evernote import EverNoteLoader
 from langchain.document_loaders.facebook_chat import FacebookChatLoader
@@ -72,7 +71,6 @@ __all__ = [
     "UnstructuredPDFLoader",
     "UnstructuredImageLoader",
     "ObsidianLoader",
-    "UnstructuredDocxLoader",
     "UnstructuredEmailLoader",
     "UnstructuredMarkdownLoader",
     "RoamLoader",

langchain/document_loaders/docx.py

@@ -1,13 +0,0 @@
-"""Loader that loads Microsoft Word files."""
-from typing import List
-
-from langchain.document_loaders.unstructured import UnstructuredFileLoader
-
-
-class UnstructuredDocxLoader(UnstructuredFileLoader):
-    """Loader that uses unstructured to load Microsoft Word files."""
-
-    def _get_elements(self) -> List:
-        from unstructured.partition.docx import partition_docx
-
-        return partition_docx(filename=self.file_path)