> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-cta2-1778260809-ad7a43f.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Rst integration

> Integrate with the Rst document loader using LangChain Python.

> 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.

## `UnstructuredRSTLoader`

You can load data from RST files with `UnstructuredRSTLoader` using the following workflow.

```python theme={null}
from langchain_community.document_loaders import UnstructuredRSTLoader

loader = UnstructuredRSTLoader(file_path="./example_data/README.rst", mode="elements")
docs = loader.load()

print(docs[0])
```

```python theme={null}
page_content='Example Docs' metadata={'source': './example_data/README.rst', 'category_depth': 0, 'last_modified': '2023-12-19T13:42:18', 'languages': ['eng'], 'filetype': 'text/x-rst', 'file_directory': './example_data', 'filename': 'README.rst', 'category': 'Title'}
```

```python theme={null}
```

***

<div className="source-links">
  <Callout icon="terminal-2">
    [Connect these docs](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
  </Callout>

  <Callout icon="edit">
    [Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/oss/python/integrations/document_loaders/rst.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).
  </Callout>
</div>
