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Showing content from https://python.langchain.com/docs/integrations/document_loaders/azure_blob_storage_container/ below:

Azure Blob Storage Container | 🦜️🔗 LangChain

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>")

[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)]

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>"
)

[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)]

• Document loader conceptual guide
• Document loader how-to guides

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