Azure Blob Storage is Microsoft’s object storage solution for the cloud. Blob Storage is optimized for storing massive amounts of unstructured data. Unstructured data is data that doesn’t adhere to a particular data model or definition, such as text or binary data.
Azure Blob Storage is designed for:
  • Serving images or documents directly to a browser.
  • Storing files for distributed access.
  • Streaming video and audio.
  • Writing to log files.
  • Storing data for backup and restore, disaster recovery, and archiving.
  • Storing data for analysis by an on-premises or Azure-hosted service.
This notebook covers how to load document objects from a container on Azure Blob Storage. 
%pip install --upgrade --quiet  azure-storage-blob

from langchain_community.document_loaders import AzureBlobStorageContainerLoader

loader = AzureBlobStorageContainerLoader(conn_str="<conn_str>", container="<container>")

loader.load()

[Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': '/var/folders/y6/8_bzdg295ld6s1_97_12m4lr0000gn/T/tmpaa9xl6ch/fake.docx'}, lookup_index=0)]

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Specifying a prefix

You can also specify a prefix for more fine-grained control over what files to load. 
loader = AzureBlobStorageContainerLoader(
    conn_str="<conn_str>", container="<container>", prefix="<prefix>"
)

loader.load()

[Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': '/var/folders/y6/8_bzdg295ld6s1_97_12m4lr0000gn/T/tmpujbkzf_l/fake.docx'}, lookup_index=0)]