If your data includes text records of any kind, including things like PDFs, you can use Natural Language Processing (NLP) in a Pipeline step to fine-tune Voyager's ability to identify most-relevant content.
Before you begin, make sure that the NLP Service is enabled. You may need to download the NLP Python library and configure the NLP Service if you have not already done so.
To add NLP to the Indexing Pipeline for a location:
Go to Manage Voyager > Discovery > Locations
Click the Edit icon to the right of the location to which you'd like to add NLP
Select the Pipeline tab
Uncheck Use Default Pipeline Configuration
Click Add under First Steps
Select nlp-worker from the Step drop-down menu
Click Add
The First Steps will display voyager.pipeline.steps.RunExternalPythonStep nlp_worker
Click Save at the bottom of the dialog to close the Pipeline tab.
You will need to rescan or reindex that location in order for the NLP results to be incorporated into Voyager's relevancy calculations.