Skip to main content
Open In ColabOpen on GitHub

Microsoft SharePoint

Microsoft SharePoint is a website-based collaboration system that uses workflow applications, “list” databases, and other web parts and security features to empower business teams to work together developed by Microsoft.

This notebook covers how to load documents from the SharePoint Document Library. By default the document loader loads pdf, doc, docx and txt files. You can load other file types by providing appropriate parsers (see more below).

Prerequisites​

  1. Register an application with the Microsoft identity platform instructions.
  2. When registration finishes, the Azure portal displays the app registration's Overview pane. You see the Application (client) ID. Also called the client ID, this value uniquely identifies your application in the Microsoft identity platform.
  3. During the steps you will be following at item 1, you can set the redirect URI as https://login.microsoftonline.com/common/oauth2/nativeclient
  4. During the steps you will be following at item 1, generate a new password (client_secret) under Application Secrets section.
  5. Follow the instructions at this document to add the following SCOPES (offline_access and Sites.Read.All) to your application.
  6. To retrieve files from your Document Library, you will need its ID. To obtain it, you will need values of Tenant Name, Collection ID, and Subsite ID.
  7. To find your Tenant Name follow the instructions at this document. Once you got this, just remove .onmicrosoft.com from the value and hold the rest as your Tenant Name.
  8. To obtain your Collection ID and Subsite ID, you will need your SharePoint site-name. Your SharePoint site URL has the following format https://<tenant-name>.sharepoint.com/sites/<site-name>. The last part of this URL is the site-name.
  9. To Get the Site Collection ID, hit this URL in the browser: https://<tenant>.sharepoint.com/sites/<site-name>/_api/site/id and copy the value of the Edm.Guid property.
  10. To get the Subsite ID (or web ID) use: https://<tenant>.sharepoint.com/sites/<site-name>/_api/web/id and copy the value of the Edm.Guid property.
  11. The SharePoint site ID has the following format: <tenant-name>.sharepoint.com,<Collection ID>,<subsite ID>. You can hold that value to use in the next step.
  12. Visit the Graph Explorer Playground to obtain your Document Library ID. The first step is to ensure you are logged in with the account associated with your SharePoint site. Then you need to make a request to https://graph.microsoft.com/v1.0/sites/<SharePoint site ID>/drive and the response will return a payload with a field id that holds the ID of your Document Library ID.

🧑 Instructions for ingesting your documents from SharePoint Document Library​

🔑 Authentication​

By default, the SharePointLoader expects that the values of CLIENT_ID and CLIENT_SECRET must be stored as environment variables named O365_CLIENT_ID and O365_CLIENT_SECRET respectively. You could pass those environment variables through a .env file at the root of your application or using the following command in your script.

os.environ['O365_CLIENT_ID'] = "YOUR CLIENT ID"
os.environ['O365_CLIENT_SECRET'] = "YOUR CLIENT SECRET"

This loader uses an authentication called on behalf of a user. It is a 2 step authentication with user consent. When you instantiate the loader, it will call will print a url that the user must visit to give consent to the app on the required permissions. The user must then visit this url and give consent to the application. Then the user must copy the resulting page url and paste it back on the console. The method will then return True if the login attempt was succesful.

from langchain_community.document_loaders.sharepoint import SharePointLoader

loader = SharePointLoader(document_library_id="YOUR DOCUMENT LIBRARY ID")
API Reference:SharePointLoader

Once the authentication has been done, the loader will store a token (o365_token.txt) at ~/.credentials/ folder. This token could be used later to authenticate without the copy/paste steps explained earlier. To use this token for authentication, you need to change the auth_with_token parameter to True in the instantiation of the loader.

from langchain_community.document_loaders.sharepoint import SharePointLoader

loader = SharePointLoader(document_library_id="YOUR DOCUMENT LIBRARY ID", auth_with_token=True)
API Reference:SharePointLoader

🗂️ Documents loader​

📑 Loading documents from a Document Library Directory​

SharePointLoader can load documents from a specific folder within your Document Library. For instance, you want to load all documents that are stored at Documents/marketing folder within your Document Library.

from langchain_community.document_loaders.sharepoint import SharePointLoader

loader = SharePointLoader(document_library_id="YOUR DOCUMENT LIBRARY ID", folder_path="Documents/marketing", auth_with_token=True)
documents = loader.load()
API Reference:SharePointLoader

If you are receiving the error Resource not found for the segment, try using the folder_id instead of the folder path, which can be obtained from the Microsoft Graph API

loader = SharePointLoader(document_library_id="YOUR DOCUMENT LIBRARY ID", auth_with_token=True
                          folder_id="<folder-id>")
documents = loader.load()

If you wish to load documents from the root directory, you can omit folder_id, folder_path and documents_ids and loader will load root directory.

# loads documents from root directory
loader = SharePointLoader(document_library_id="YOUR DOCUMENT LIBRARY ID", auth_with_token=True)
documents = loader.load()

Combined with recursive=True you can simply load all documents from whole SharePoint:

# loads documents from root directory
loader = SharePointLoader(document_library_id="YOUR DOCUMENT LIBRARY ID",
                          recursive=True,
                          auth_with_token=True)
documents = loader.load()

📑 Loading documents from a list of Documents IDs​

Another possibility is to provide a list of object_id for each document you want to load. For that, you will need to query the Microsoft Graph API to find all the documents ID that you are interested in. This link provides a list of endpoints that will be helpful to retrieve the documents ID.

For instance, to retrieve information about all objects that are stored at data/finance/ folder, you need make a request to: https://graph.microsoft.com/v1.0/drives/<document-library-id>/root:/data/finance:/children. Once you have the list of IDs that you are interested in, then you can instantiate the loader with the following parameters.

from langchain_community.document_loaders.sharepoint import SharePointLoader

loader = SharePointLoader(document_library_id="YOUR DOCUMENT LIBRARY ID", object_ids=["ID_1", "ID_2"], auth_with_token=True)
documents = loader.load()
API Reference:SharePointLoader

📑 Choosing supported file types and preffered parsers​

By default SharePointLoader loads file types defined in document_loaders/parsers/registry using the default parsers (see below).

def _get_default_parser() -> BaseBlobParser:
    """Get default mime-type based parser."""
    return MimeTypeBasedParser(
        handlers={
            "application/pdf": PyMuPDFParser(),
            "text/plain": TextParser(),
            "application/msword": MsWordParser(),
            "application/vnd.openxmlformats-officedocument.wordprocessingml.document": (
                MsWordParser()
            ),
        },
        fallback_parser=None,
    )

You can override this behavior by passing handlers argument to SharePointLoader. Pass a dictionary mapping either file extensions (like "doc", "pdf", etc.) or MIME types (like "application/pdf", "text/plain", etc.) to parsers. Note that you must use either file extensions or MIME types exclusively and cannot mix them.

Do not include the leading dot for file extensions.

# using file extensions:
handlers = {
    "doc": MsWordParser(),
    "pdf": PDFMinerParser(),
    "mp3": OpenAIWhisperParser()
}

# using MIME types:
handlers = {
    "application/msword": MsWordParser(),
    "application/pdf": PDFMinerParser(),
    "audio/mpeg": OpenAIWhisperParser()
}

loader = SharePointLoader(document_library_id="...",
                            handlers=handlers # pass handlers to SharePointLoader
                            )

In case multiple file extensions map to the same MIME type, the last dictionary item will apply. Example:

# 'jpg' and 'jpeg' both map to 'image/jpeg' MIME type. SecondParser() will be used 
# to parse all jpg/jpeg files.
handlers = {
    "jpg": FirstParser(),
    "jpeg": SecondParser()
}

Was this page helpful?