Enabling optional features after installation or upgrade for IBM Knowledge Catalog
After installing or upgrading IBM Knowledge Catalog, you can enable any of the optional features available with IBM Knowledge Catalog, IBM Knowledge Catalog Standard, and IBM Knowledge Catalog Premium.
During the initial install or during the upgrade of any of the IBM Knowledge Catalog editions, you can enable a number of optional features. However, if you decide not to enable these optional features at that time, you can still do so after the initial install or after the upgrade.
- Who needs to complete this task?
- Instance administrator To enable optional features for IBM Knowledge Catalog, you must be an instance administrator.
To enable additional features, follow these instructions.
- Specify your IBM Knowledge
Catalog edition.Set the
IKC_TYPEenvironment variable to the edition of IBM Knowledge Catalog for which you want to enable the features:- IBM® Knowledge Catalog
-
export IKC_TYPE=wkc - IBM Knowledge Catalog Premium
-
export IKC_TYPE=ikc_premium - IBM Knowledge Catalog Standard
-
export IKC_TYPE=ikc_standard
- Enable optional features:
- Knowledge graph
- Enable knowledge graph to gain access to the lineage feature, business-term relationship search, and the relationship explorer.
- Data quality
- Enable data quality features for working with data quality definitions and data quality rules in
projects. For information about data quality definitions and rules, see Managing data quality.Important: Enabling this option will install DataStage with IBM Knowledge Catalog. To ensure a smooth installation of this feature, see Installing DataStage.
If you did not purchase a DataStage license, use of the DataStage Enterprise service installed with IBM Knowledge Catalog is limited to creating, managing, and running data quality rules.
Examples of accepted usage:- Preprocessing of data to enable running data quality rules
- Transformation of data to remediate data quality issues
- Gen AI based enrichment capabilities
- Enable all gen AI based capabilities in metadata enrichment for expanding asset and column
names, generating asset and column descriptions, and term assignment. By default, models are started
on CPU when you enable these capabilities. This is equivalent to the
enableModelsOn:cpusetting, which means that the gen AI based capabilities are provided by smaller, quantized models on CPUs . No GPUs are required in this case.You can also choose to have the required models run on GPU (
enableModelsOn:gpu), which increases performance and accuracy, or on a remote instance of watsonx.ai™ (enableModelsOn:remote).Important: WithenableModelsOn:gpu, these capabilities require one GPU, and the NVIDIA GPU Operator and the Red Hat® OpenShift® AI Operator must be installed. Also, the inference foundation models (watsonx_ai_ifm) will automatically be installed.With
enableModelsOn:remote, no models are started on the local cluster. You must set up a connection to a watsonx.ai instance on either a different IBM Software Hub cluster or to a cloud instance of watsonx.ai.For more information, see the table Enabling optional features.
- Enable all optional features for an IBM Knowledge Catalog edition
- You can enable all optional features for an IBM Knowledge Catalog edition.
For more information about the optional features, see Preparing to install IBM Knowledge Catalog.