Viewing pipeline lists and details

In Tonic Textual, a pipeline identifies a set of files that Textual processes into content that can be imported into an LLM system.

Displaying the list of pipelines

The Textual Home page displays both datasets and pipelines.

To display only the list of pipelines, in the Textual navigation menu, click Pipelines.

The Pipelines page displays the list of pipelines.

If there are no pipelines, then the Pipelines page displays a panel to allow you to create a pipeline.

Displaying details for a pipeline

To display the details for a pipeline, on the Textual Home page or Pipelines page, click the pipeline name.

Details for an Amazon S3 pipeline

Here is a pipeline details page for an Amazon S3 pipeline:

For an Amazon S3 pipeline, the details include:

  • The settings option, which you use to change the configuration settings for the pipeline. For more information, go to Editing a pipeline.

  • The list of processed files. For more information, go to Viewing pipeline files and runs.

  • The list of pipeline runs.

  • For pipelines that are configured to also redact files, the redaction configuration.

  • The Run Pipeline option, which starts a new pipeline run. For more information, go to Starting a pipeline run.

Details for a Databricks pipeline

Here is a pipeline details page for a Databricks pipeline:

For a Databricks pipeline, the details include:

  • The settings option, which you use to change the configuration settings for the pipeline. For more information, go to Editing a pipeline.

  • The list of processed files. For more information, go to Viewing pipeline files and runs.

  • The list of pipeline runs.

  • For pipelines that are configured to also redact files, the redaction configuration.

  • The Run Pipeline option, which starts a new pipeline run. For more information, go to Starting a pipeline run.

Details for an uploaded file pipeline

And here is a pipeline details page for an uploaded file pipeline:

The pipeline details include:

Last updated