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Document loaders

Prerequisites

Document loaders are designed to load document objects. LangChain has hundreds of integrations with various data sources to load data from: Slack, Notion, Google Drive, etc.

Integrations​

You can find available integrations on the Document loaders integrations page.

Interface​

Documents loaders implement the BaseLoader interface.

Each DocumentLoader has its own specific parameters, but they can all be invoked in the same way with the .load method or .lazy_load.

Here's a simple example:

from langchain_community.document_loaders.csv_loader import CSVLoader

loader = CSVLoader(
    ...  # <-- Integration specific parameters here
)
data = loader.load()
API Reference:CSVLoader

When working with large datasets, you can use the .lazy_load method:

for document in loader.lazy_load():
    print(document)

Please see the following resources for more information:

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