Add tutorial visuals

qdrant-landing/content/documentation/tutorials/customer-support-cohere-airbyte.md

@@ -15,7 +15,7 @@ In this tutorial we will setup a private AI service that answers customer suppor
 
 [//]: # (TODO: add a link to the corresponding Qdrant Hybrid Cloud documentation: deployment on AWS)
 
-TODO: add a diagram presenting all the components
+![Architecture diagram](/documentation/tutorials/customer-support-cohere-airbyte/architecture-diagram.png)
 
 ## System design
 
@@ -39,8 +39,6 @@ models' availability, you can build a fully private customer support system comp
 infrastructure. Also, if you have AWS credits, you can now use them without spending additional money on the models or 
 semantic search layer.
 
-[//]: # (TODO: Command-R is not available on AWS yet, but should be ready before 16th April)
-
 ### Data ingestion
 
 Building a RAG starts with a well-curated dataset. In your specific case you may prefer loading the data directly from