# UnstructuredRTFLoader

> **Class** in `langchain_community`

📖 [View in docs](https://reference.langchain.com/python/langchain-community/document_loaders/rtf/UnstructuredRTFLoader)

Load `RTF` files using `Unstructured`.

You can run the loader in one of two modes: "single" and "elements".
If you use "single" mode, the document will be returned as a single
langchain Document object. If you use "elements" mode, the unstructured
library will split the document into elements such as Title and NarrativeText.
You can pass in additional unstructured kwargs after mode to apply
different unstructured settings.

Examples
--------
from langchain_community.document_loaders import UnstructuredRTFLoader

loader = UnstructuredRTFLoader(
    "example.rtf", mode="elements", strategy="fast",
)
docs = loader.load()

References
----------
https://unstructured-io.github.io/unstructured/bricks.html#partition-rtf

## Signature

```python
UnstructuredRTFLoader(
    self,
    file_path: Union[str, Path],
    mode: str = 'single',
    **unstructured_kwargs: Any = {},
)
```

## Parameters

| Name | Type | Required | Description |
|------|------|----------|-------------|
| `file_path` | `Union[str, Path]` | Yes | The path to the file to load. |
| `mode` | `str` | No | The mode to use for partitioning. See unstructured for details. Defaults to "single". (default: `'single'`) |
| `**unstructured_kwargs` | `Any` | No | Additional keyword arguments to pass to unstructured. (default: `{}`) |

## Extends

- `UnstructuredFileLoader`

## Constructors

```python
__init__(
    self,
    file_path: Union[str, Path],
    mode: str = 'single',
    **unstructured_kwargs: Any = {},
)
```

| Name | Type |
|------|------|
| `file_path` | `Union[str, Path]` |
| `mode` | `str` |


---

[View source on GitHub](https://github.com/langchain-ai/langchain-community/blob/d5ea8358933260ad48dd31f7f8076555c7b4885a/libs/community/langchain_community/document_loaders/rtf.py#L12)