Update the README for ODH Core components

Signed-off-by: Landon LaSmith <[email protected]>

README.md

@@ -4,37 +4,44 @@ A repository for [Open Data Hub](https://opendatahub.io) components Kustomize ma
 ## Community
 
 * Website: https://opendatahub.io
-* Documentation: https://opendatahub.io/docs.html
-* Mailing lists: https://opendatahub.io/community.html
-* Community meetings: https://gitlab.com/opendatahub/opendatahub-community
+* Documentation: https://opendatahub.io/docs/
+* ODH Community: https://opendatahub.io/community/
 
 ## ODH Core Components
 
 Open Data Hub is an end-to-end AI/ML platform on top of OpenShift Container Platform that provides a core set of integrated components to support end end-to-end MLOps workflow for Data Scientists and Engineers. The components currently available as part of the ODH Core deployment are:
 
-* [ODH Dashboard](odh-dashboard/README.md)
+* [ODH Dashboard](https://github.com/opendatahub-io/odh-dashboard)
 * [ODH Notebook Controller](odh-notebook-controller/README.md)
+* [ODH Notebook Images](https://github.com/opendatahub-io/notebooks/blob/main/README.md)
 * [ModelMesh](model-mesh/README.md)
+  * [TrustyAI Explainability](https://github.com/trustyai-explainability)
 
+## ODH Incubating Components
+* [Distributed Workloads](https://github.com/opendatahub-io/distributed-workloads)
+  * [Code Flare](https://github.com/project-codeflare)
+* [ODH Notebook Images](https://github.com/opendatahub-io/odh-manifests/tree/master/notebook-images/overlays/additional)
+  * Elyra Notebook
+  * Code Server Notebook
+  * R Studio Notebook (CPU & CUDA)
 
 Any components that were removed with the update to ODH 1.4 have been relocated to the [ODH Contrib](https://github.com/opendatahub-io-contrib) organization under the [odh-contrib-manifests](https://github.com/opendatahub-io-contrib/odh-contrib-manifests) repo.  You can reference the [odh-contrib kfdef](kfdef/odh-contrib.yaml) as a reference on how to deploy any of the odh-contrib-manifests components
 
 ### Component Versions
 
 | Manifest Version | ODH Dashboard | ODH Notebook Controller | ODH Notebook Images | Data Science Pipelines | ModelMesh |
 | ---------------- | ------------- | ----------------------- | ------------------- |----------------------- | --------- |
-| master | v2.11.0 | v1.6 | v1.3.1 | v1.2.1 | v0.9.0 |
-| v1.4.1 | v2.5.2 | v1.6 | v1.3.1 | v1.2.1 | v0.9.0 |
-| v1.4.0 | v2.2.1 | v1.6 | N/A | v1.2.1 | v0.9.0 |
+| master           | v2.11.0       | v1.6                    | 2023a               | v0.2.2                 | v0.11.0   |
+
+Release notes and component versions for each ODH release is available on [opendatahub.io](https://opendatahub.io/blog/?type=release)
 
 ## Deploy
 
-We are relying on [Kustomize v3](https://github.com/kubernetes-sigs/kustomize), [kfctl](https://github.com/kubeflow/kfctl) and [Open Data Hub Operator](https://github.com/opendatahub-io/opendatahub-operator/blob/master/operator.md) for deployment.
+We are relying on [Kustomize v3](https://github.com/kubernetes-sigs/kustomize), [kfctl](https://github.com/kubeflow/kfctl) and [Open Data Hub Operator](https://github.com/opendatahub-io/opendatahub-operator/blob/master/README.md) for deployment.
 
 The two ways to deploy are:
 
-1. Following [Getting Started](http://opendatahub.io/docs/getting-started/quick-installation.html) guide using a KFDef from this repository as the custom resource.
-1. Using `kfctl` and follow the documentation at [Kubeflow.org](https://www.kubeflow.org/docs/openshift/). The only change is to use this repository instead of Kubeflow manifests.
+1. Following [Getting Started](https://opendatahub.io/docs/quick-installation/) guide using a KFDef from this repository as the custom resource.
 
 ## Issues
-To submit issues please file a GitHub issue in [odh-manifests](https://github.com/opendatahub-io/odh-manifests/issues)
+To submit issues please file a GitHub issue in [opendatahub-community](https://github.com/opendatahub-io/opendatahub-community/issues)