addressing peer review feedback

Author: chtyler

modules/working-with-llama-stack.adoc

@@ -28,7 +28,7 @@ Llama Stack includes the following components:
 * **Inference model servers** such as vLLM, designed to efficiently serve large language models.
 * **Vector storage** solutions, primarily Milvus, to store embeddings generated from your domain data.
 * **Retrieval and embedding management** workflows using integrated tools, such as Docling, to handle continuous data ingestion and synchronization.
-* **Integration with the {productname-short}** by using the `LlamaStackDistribution` custom resource, simplifying configuration and deployment.
+* **Integration with {productname-short}** by using the `LlamaStackDistribution` custom resource, simplifying configuration and deployment.
 
 ifdef::upstream[]
 For information about how to deploy Llama Stack in {productname-short}, see link:{odhdocshome}/working-with-rag/#deploying-a-rag-stack-in-a-data-science-project_rag[Deploying a RAG stack in a Data Science Project].