langchain/docs/snippets/modules/data_connection/document_loaders/get_started.mdx

The simplest loader reads in a file as text and places it all into one document.

```python
from langchain.document_loaders import TextLoader

loader = TextLoader("./index.md")
loader.load()
```

<CodeOutputBlock language="python">

```
[
    Document(page_content='---\nsidebar_position: 0\n---\n# Document loaders\n\nUse document loaders to load data from a source as `Document`\'s. A `Document` is a piece of text\nand associated metadata. For example, there are document loaders for loading a simple `.txt` file, for loading the text\ncontents of any web page, or even for loading a transcript of a YouTube video.\n\nEvery document loader exposes two methods:\n1. "Load": load documents from the configured source\n2. "Load and split": load documents from the configured source and split them using the passed in text splitter\n\nThey optionally implement:\n\n3. "Lazy load": load documents into memory lazily\n', metadata={'source': '../docs/docs/modules/data_connection/document_loaders/index.md'})
]
```

</CodeOutputBlock>