diff --git a/examples/evaluate_rag_end_to_end_dataset_with_given_predictions.py b/examples/evaluate_rag_end_to_end_dataset_with_given_predictions.py
index 2d7e3a5098..ac6399bae8 100644
--- a/examples/evaluate_rag_end_to_end_dataset_with_given_predictions.py
+++ b/examples/evaluate_rag_end_to_end_dataset_with_given_predictions.py
@@ -45,11 +45,21 @@
     },
 ]
 
+# select recommended metrics according to your available resources.
+metrics = [
+    "metrics.rag.end_to_end.recommended.cpu_only.all",
+    # "metrics.rag.end_to_end.recommended.small_llm.all",
+    # "metrics.rag.end_to_end.recommended.llmaj_watsonx.all",
+    # "metrics.rag.end_to_end.recommended.llmaj_rits.all"
+    # "metrics.rag.end_to_end.recommended.llmaj_azure.all"
+]
+
 dataset = create_dataset(
     task="tasks.rag.end_to_end",
     test_set=dataset,
     split="test",
     postprocessors=[],
+    metrics=metrics,
 )
 
 results = evaluate(predictions, dataset)
diff --git a/examples/evaluate_rag_response_generation.py b/examples/evaluate_rag_response_generation.py
index 01249b5b0b..1856f61a40 100644
--- a/examples/evaluate_rag_response_generation.py
+++ b/examples/evaluate_rag_response_generation.py
@@ -58,6 +58,15 @@
     ),
 )
 
+# select recommended metrics according to your available resources.
+metrics = [
+    "metrics.rag.response_generation.recommended.cpu_only.all",
+    # "metrics.rag.response_generation.recommended.small_llm.all",
+    # "metrics.rag.response_generation.recommended.llmaj_watsonx.all",
+    # "metrics.rag.response_generation.recommended.llmaj_rits.all"
+    # "metrics.rag.response_generation.recommended.llmaj_azure.all"
+]
+
 # Verbalize the dataset using the template
 dataset = load_dataset(
     card=card,
@@ -65,6 +74,7 @@
     format="formats.chat_api",
     split="test",
     max_test_instances=10,
+    metrics=metrics,
 )