Skip to main content
Google Cloud Storage is a managed service for storing unstructured data.
This covers how to load document objects from an Google Cloud Storage (GCS) file object (blob). 
pip install -qU  langchain-google-community[gcs]

from langchain_google_community import GCSFileLoader

loader = GCSFileLoader(project_name="aist", bucket="testing-hwc", blob="fake.docx")

loader.load()

/Users/harrisonchase/workplace/langchain/.venv/lib/python3.10/site-packages/google/auth/_default.py:83: UserWarning: Your application has authenticated using end user credentials from Google Cloud SDK without a quota project. You might receive a "quota exceeded" or "API not enabled" error. We recommend you rerun `gcloud auth application-default login` and make sure a quota project is added. Or you can use service accounts instead. For more information about service accounts, see https://cloud.google.com/docs/authentication/
  warnings.warn(_CLOUD_SDK_CREDENTIALS_WARNING)

[Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': '/var/folders/y6/8_bzdg295ld6s1_97_12m4lr0000gn/T/tmp3srlf8n8/fake.docx'}, lookup_index=0)]
If you want to use an alternative loader, you can provide a custom function, for example: 
from langchain_community.document_loaders import PyPDFLoader


def load_pdf(file_path):
    return PyPDFLoader(file_path)


loader = GCSFileLoader(
    project_name="aist", bucket="testing-hwc", blob="fake.pdf", loader_func=load_pdf
)
Edit the source of this page on GitHub.
Connect these docs programmatically to Claude, VSCode, and more via MCP for real-time answers.
⌘I