LangChain is a powerful framework designed for building applications with language models. One of its standout features is the Document Loaders, which makes it easy to ingest and process documents in various formats. Whether you are dealing with PDFs, text files, or web pages, LangChain provides a simple interface to load your documents and prepare them for processing.

Getting Started with Document Loaders

To illustrate how to use document loaders, let's consider a scenario where we want to load text documents from a local directory. Here’s a simple example using the TextLoader to read in a text file:

from langchain.document_loaders import TextLoader

# Initialize the TextLoader with the file path
loader = TextLoader("path/to/your/document.txt")

# Load the document
document = loader.load()

# Print the content of the document
print(document.content)

This code snippet demonstrates how straightforward it is to read a text document with LangChain's TextLoader. Once loaded, you can easily manipulate the document or feed it into a language model for further processing.