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*   [Modules](/v0.1/docs/modules/)
*   [Retrieval](/v0.1/docs/modules/data_connection/)
*   Document loaders

On this page

Document loaders
================

info

Head to [Integrations](/v0.1/docs/integrations/document_loaders/) for documentation on built-in integrations with document loader providers.

Use document loaders to load data from a source as `Document`'s. A `Document` is a piece of text and associated metadata. For example, there are document loaders for loading a simple `.txt` file, for loading the text contents of any web page, or even for loading a transcript of a YouTube video.

Document loaders expose a "load" method for loading data as documents from a configured source. They optionally implement a "lazy load" as well for lazily loading data into memory.

Get started[​](#get-started "Direct link to Get started")
---------------------------------------------------------

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

    import { TextLoader } from "langchain/document_loaders/fs/text";const loader = new TextLoader("src/document_loaders/example_data/example.txt");const docs = await loader.load();

#### API Reference:

*   [TextLoader](https://api.js.langchain.com/classes/langchain_document_loaders_fs_text.TextLoader.html) from `langchain/document_loaders/fs/text`

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#### Help us out by providing feedback on this documentation page:

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