Hi All, So I am new to google vertex AI search, So I was doing some hands-on of creating a new unstructured document(pdf in my case) and push that document to already created data store which already have some unstructured documents.
so When I hit the below custom API from postman
https://discoveryengine.googleapis.com/v1alpha/projects/548443691128/locations/global/collections/default_collection/dataStores/kaggle-movie_1698160258041/branches/0/documents
and added documentId = 01
in params then I get INVALID_ARGUMENT error
postman error
Below is the format of the unstructured document that I created by following
{
"name": "projects/548443691128/locations/global/collections/default_collection/dataStores/alphabet-investor_1698161197344/branches/0/documents/01",
"id": "01",
"schemaId": "default_schema",
"structData": {},
"parentDocumentId": "01",
"content": {
"mimeType": "application/pdf",
"uri": "gs://personal-beta/testing-doc/Global iJobs Policy.pdf"
}
}
In this case the document name Global iJobs Policy.pdf
is present in the google cloud storage bucket.
I think there might be some problem with the format of the document, but I am not able to figure out.
I tried following the officials documentation but did not get any hint about, what could have gone wrong.
Here's the REST API sample for how to import data from Cloud Storage after creating a data store using the Cloud Console.
You will need to use the import
method of the projects.locations.collections.dataStores.branches.documents
resource.