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A dataset is a named container for your documents. You must create a dataset before uploading files into it.
Create a dataset When creating a dataset, you must specify a region — this determines where your data is physically stored.
Once set, a dataset’s region cannot be changed. See available regions .
Python SDK
JavaScript SDK
topk dataset create my-dataset --region aws-us-east-1-elastica
client.datasets().create( "my-docs" )
await client . datasets (). create ( "my-docs" );
List datasets
Python SDK
JavaScript SDK
datasets = client.datasets().list() for dataset in datasets: print (dataset.name)
const datasets = await client . datasets (). list (); for ( const dataset of datasets ) { console . log ( dataset . name ); }
Get a dataset
Python SDK
JavaScript SDK
dataset = client.datasets().get( "my-docs" ) print (dataset.name)
const dataset = await client . datasets (). get ( "my-docs" ); console . log ( dataset . name );
Update a dataset Update dataset description :
Python SDK
JavaScript SDK
topk dataset update my-docs --description "Annual financial filings"
dataset = client.datasets().update( "my-docs" , description = "Annual financial filings" , ) print (dataset.description)
const dataset = await client . datasets (). update ( "my-docs" , { description: "Annual financial filings" , }); console . log ( dataset . description );
Delete a dataset Deleting a dataset is irreversible. All documents stored in the dataset will be permanently removed.
Python SDK
JavaScript SDK
topk dataset delete --dataset my-docs
The CLI will prompt for confirmation. Use -y to skip: topk dataset delete --dataset my-docs -y
client.datasets().delete( "my-docs" )
await client . datasets (). delete ( "my-docs" );
Python SDK
JavaScript SDK
Python SDK
JavaScript SDK