Enhance Your Workflows with LangChain's Document Loader

LangChain is a powerful framework designed for building applications powered by large language models. One of its standout features is the Document Loader. This feature allows users to effortlessly load and preprocess various types of documents.

Whether you're dealing with plain text files, PDFs, or even web pages, LangChain's Document Loader simplifies the process, enabling you to focus on your application logic rather than the intricacies of data handling.

Example Usage

Here's a simple example demonstrating how to use LangChain's Document Loader to load a text document:

from langchain.document_loaders import TextLoader

# Load a text file
loader = TextLoader("path/to/your/document.txt")
documents = loader.load()

# Print loaded documents
for doc in documents:
    print(doc.content)
        

With just a few lines of code, you can easily integrate document loading into your LangChain applications. This feature helps streamline the data ingestion process, allowing for quicker prototyping and development.