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No estamos pudiendo ingestar documentos desde sharepoint y aplicarle el skillset que viene por defecto en el repositorio RAG.
Message Invalid request: 'documentUrl' is a required property Failed validating 'required' in schema['properties']['values']['items']['properties']['data']: {'properties': {'documentContent': {'type': 'string'}, 'documentContentType': {'minLength': 1, 'type': 'string'}, 'documentSasToken': {'minLength': 1, 'type': 'string'}, 'documentUrl': {'minLength': 1, 'type': 'string'}}, 'required': ['documentContent', 'documentUrl', 'documentSasToken', 'documentContentType'], 'type': 'object'} On instance['values'][0]['data']: {'documentContent': 'application/pdf'} Category Function.document_chunking.User HostInstanceId InvocationId LogLevel Error ProcessId 25
The text was updated successfully, but these errors were encountered:
Actualmente no considera GPT-RAG un conector con SharePoint, pero lo vamos a agregar como proximo release.
Actualizar el setup.py de creación de Data Sources de Search. Replicar lo que hacemos con el Data Source de Blob para el Data Source de SharePoint.
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No estamos pudiendo ingestar documentos desde sharepoint y aplicarle el skillset que viene por defecto en el repositorio RAG.
Message Invalid request: 'documentUrl' is a required property Failed validating 'required' in schema['properties']['values']['items']['properties']['data']: {'properties': {'documentContent': {'type': 'string'}, 'documentContentType': {'minLength': 1, 'type': 'string'}, 'documentSasToken': {'minLength': 1, 'type': 'string'}, 'documentUrl': {'minLength': 1, 'type': 'string'}}, 'required': ['documentContent', 'documentUrl', 'documentSasToken', 'documentContentType'], 'type': 'object'} On instance['values'][0]['data']: {'documentContent': 'application/pdf'}
Category Function.document_chunking.User
HostInstanceId
InvocationId
LogLevel Error
ProcessId 25
The text was updated successfully, but these errors were encountered: