Set resources for inferencegraph example (#322)

Signed-off-by: Sivanantham Chinnaiyan <sivanantham.chinnaiyan@ideas2it.com>

docs/modelserving/inference_graph/image_pipeline/README.md

@@ -123,9 +123,20 @@ spec:
         name: dog_breed_classifier
         data: $request
         condition: "[@this].#(predictions.0==\"dog\")"
+  resources:
+    requests:
+      cpu: 100m
+      memory: 256Mi
+    limits:
+      cpu: 1
+      memory: 1Gi
+
 EOF
 ```
 
+!!! Note
+    For more information on InferenceGraph Spec, See the [reference docs](https://kserve.github.io/website/latest/reference/api/#serving.kserve.io/v1alpha1.InferenceGraph).
+
 The `InferenceGraph` defines the two steps and each step targets the `InferenceServices` deployed above. The steps
 are executed in sequence: it first sends the image as request to `cat-dog-classifier` model and then send to the
 `dog-breed-classifier` if it is classified as a dog from the first model.