TextLoader integration

Integrate with the TextLoader document loader using LangChain JavaScript.

Compatibility: Only available on Node.js.

This notebook provides a quick overview for getting started with TextLoader document loaders. For detailed documentation of all TextLoader features and configurations head to the API reference.

Overview

Integration details

Class	Package	Compatibility	Local	PY support
TextLoader	langchain	Node-only	✅	❌

Setup

To access TextLoader document loader you’ll need to install the langchain package.

Installation

The LangChain TextLoader integration lives in the langchain package:

npm

npm install langchain

Instantiation

Now we can instantiate our model object and load documents:

import { TextLoader } from "@langchain/classic/document_loaders/fs/text"

const loader = new TextLoader("../../../../../../examples/src/document_loaders/example_data/example.txt")

Load

const docs = await loader.load()
docs[0]

Document {
  pageContent: 'Foo\nBar\nBaz\n\n',
  metadata: {
    source: '../../../../../../examples/src/document_loaders/example_data/example.txt'
  },
  id: undefined
}

console.log(docs[0].metadata)

{
  source: '../../../../../../examples/src/document_loaders/example_data/example.txt'
}

---

API reference

For detailed documentation of all TextLoader features and configurations head to the API reference.

---

Connect these docs to Claude, VSCode, and more via MCP for real-time answers.

Edit this page on GitHub or file an issue.