RHAI-ENG-306-modify-docs-on-deploying-llamastackdistribution-instanc…

modules/deploying-a-llama-model-with-kserve.adoc

@@ -10,7 +10,7 @@ To use Llama Stack and retrieval-augmented generation (RAG) workloads in {produc
 
 * You have logged in to {productname-long}.
 * You have cluster administrator privileges for your {openshift-platform} cluster.
-* You have installed the Llama Stack Operator. 
+* You have activated the Llama Stack Operator. 
 ifdef::upstream[]
 For more information, see link:{odhdocshome}/working-with-rag/#installing-the-llama-stack-operator_rag[Installing the Llama Stack Operator].
 endif::[]

modules/deploying-a-llamastackdistribution-instance.adoc

@@ -4,14 +4,7 @@
 = Deploying a LlamaStackDistribution instance
 
 [role='_abstract']
-You can integrate LlamaStack and its retrieval-augmented generation (RAG) capabilities with your deployed Llama 3.2 model served by vLLM. This integration enables you to build intelligent applications that combine large language models (LLMs) with real-time data retrieval, providing more accurate and contextually relevant responses for your AI workloads.
-
-When you create a `LlamaStackDistribution` custom resource (CR), specify the Llama Stack image `quay.io/opendatahub/llama-stack:odh` in the `spec.server.distribution.image` field. The image is hosted on link:https://quay.io[Quay.io], a secure registry that provides vulnerability scanning, role‑based access control, and globally distributed content delivery. Using this {org-name}–validated image ensures that your deployment automatically receives the latest security patches and compatibility updates. For more information about working with Quay.io, see link:https://docs.redhat.com/en/documentation/red_hat_quay/3/html/about_quay_io/quayio-overview[Quay.io overview].
-
-[IMPORTANT]
-====
-The Llama Stack image is hosted on link:https://quay.io[Quay.io] only during the Developer Preview phase of the Llama Stack integration with {productname-short}. When the Llama Stack integration reaches general availability, the image will be available on link:https://registry.redhat.io[registry.redhat.io].
-====
+You can integrate LlamaStack and its retrieval-augmented generation (RAG) capabilities with your deployed Llama 3.2 model served by vLLM. You can use this integration to build intelligent applications that combine large language models (LLMs) with real-time data retrieval, providing more accurate and contextually relevant responses for your AI workloads. When you create a `LlamaStackDistribution` custom resource (CR), specify `rh-dev` in the `spec.server.distribution.name` field. 
 
 ifdef::self-managed[]
 ifdef::disconnected[]
@@ -42,7 +35,6 @@ endif::[]
 
 .Procedure
 
-
 . Open a new terminal window.
 .. Log in to your {openshift-platform} cluster from the CLI:
 .. In the upper-right corner of the OpenShift web console, click your user name and select *Copy login command*.
@@ -119,10 +111,13 @@ spec:
       name: llama-stack
       port: 8321
     distribution:
-      image: quay.io/opendatahub/llama-stack:odh
-    storage:
-      size: "5Gi"
+      name: rh-dev
 ----
++
+[NOTE]
+====
+The `rh-dev` value is an internal image reference. When you create the `LlamaStackDistribution` custom resource, the {productname-short} Operator automatically resolves `rh-dev` to the container image in the appropriate registry. This internal image reference allows the underlying image to update without requiring changes to your custom resource.
+====
 
 . Click *Create*.