Open mirallm opened 7 hours ago
To securely read documents from SharePoint using an access token and integrate this functionality with LlamaIndex, you can use the SharePointReader
class provided by LlamaIndex. This class is designed to handle authentication and document retrieval from SharePoint. Here's how you can set it up:
Authentication: Use the SharePointReader
class to obtain an access token by providing your client_id
, client_secret
, and tenant_id
for Microsoft Graph API authentication.
Reading Documents: Once authenticated, use the read_file_content
method to read file content from SharePoint. This method manages the access token retrieval and uses it to access the SharePoint API.
Integration with LlamaIndex: Load documents into LlamaIndex using the load_resource
method for processing and querying.
Here's a basic example:
from llama_index.readers.microsoft_sharepoint.base import SharePointReader
# Initialize the SharePointReader with necessary credentials
sharepoint_reader = SharePointReader(
client_id='your_client_id',
client_secret='your_client_secret',
tenant_id='your_tenant_id',
sharepoint_site_name='your_sharepoint_site_name',
sharepoint_folder_path='your_sharepoint_folder_path'
)
# Load documents from SharePoint
documents = sharepoint_reader.load_resource('resource_id')
# Process documents with LlamaIndex
# Assuming you have a function to process documents
process_documents(documents)
This setup allows you to securely read documents from SharePoint and integrate them with LlamaIndex for efficient processing and querying [1].
To continue talking to Dosu, mention @dosu.
can you give me an example of sharepoint_site_name='your_sharepoint_site_name', because it is always fiving site not found where it actually exist @dosu
Question Validation
Question
How can I securely read documents from SharePoint using an access token for authentication, in line with best security practices? Specifically, is there a way to integrate this functionality with LlamaIndex or LangChain to enable efficient document processing and querying. From llamahub loader, there is no way