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	### Summary Adds an `UnstructuredRSTLoader` for loading [reStructuredText](https://en.wikipedia.org/wiki/ReStructuredText) file. ### Testing ```python from langchain.document_loaders import UnstructuredRSTLoader loader = UnstructuredRSTLoader( file_path="example_data/README.rst", mode="elements" ) docs = loader.load() print(docs[0]) ``` ### Reviewers - @hwchase17 - @rlancemartin - @eyurtsev
		
			
				
	
	
		
			89 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
			
		
		
	
	
			89 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
| {
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|  "cells": [
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|   {
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|    "cell_type": "markdown",
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|    "metadata": {},
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|    "source": [
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|     "# RST\n",
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|     "\n",
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|     ">A [reStructured Text (RST)](https://en.wikipedia.org/wiki/ReStructuredText) file is a file format for textual data used primarily in the Python programming language community for technical documentation."
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|    ]
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|   },
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|   {
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|    "cell_type": "markdown",
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|    "metadata": {},
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|    "source": [
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|     "## `UnstructuredRSTLoader`\n",
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|     "\n",
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|     "You can load data from RST files with `UnstructuredRSTLoader` using the following workflow."
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": 1,
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|    "metadata": {},
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|    "outputs": [],
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|    "source": [
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|     "from langchain.document_loaders import UnstructuredRSTLoader"
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": 2,
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|    "metadata": {},
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|    "outputs": [],
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|    "source": [
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|     "loader = UnstructuredRSTLoader(\n",
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|     "    file_path=\"example_data/README.rst\", mode=\"elements\"\n",
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|     ")\n",
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|     "docs = loader.load()"
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": 3,
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|    "metadata": {},
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|    "outputs": [
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|     {
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|      "name": "stdout",
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|      "output_type": "stream",
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|      "text": [
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|       "page_content='Example Docs' metadata={'source': 'example_data/README.rst', 'filename': 'README.rst', 'file_directory': 'example_data', 'filetype': 'text/x-rst', 'page_number': 1, 'category': 'Title'}\n"
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|      ]
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|     }
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|    ],
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|    "source": [
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|     "print(docs[0])"
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": null,
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|    "metadata": {},
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|    "outputs": [],
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|    "source": []
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|   }
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|  ],
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|  "metadata": {
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|   "kernelspec": {
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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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|   "language_info": {
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|    "codemirror_mode": {
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|     "name": "ipython",
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|     "version": 3
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|    },
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|    "file_extension": ".py",
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|    "mimetype": "text/x-python",
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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": "3.11.3"
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|   }
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|  },
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|  "nbformat": 4,
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|  "nbformat_minor": 4
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| }
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