diff --git a/integrations/azure_ai_search/example/document_store.py b/integrations/azure_ai_search/example/document_store.py
index ac490aa5e..b3a87c64a 100644
--- a/integrations/azure_ai_search/example/document_store.py
+++ b/integrations/azure_ai_search/example/document_store.py
@@ -3,6 +3,14 @@
 
 from haystack_integrations.document_stores.azure_ai_search import AzureAISearchDocumentStore
 
+"""
+This example demonstrates how to use the AzureAISearchDocumentStore to write and filter documents.
+To run this example, you'll need an Azure Search service endpoint and API key, which can either be
+set as environment variables (AZURE_SEARCH_SERVICE_ENDPOINT and AZURE_SEARCH_API_KEY) or
+provided directly to AzureAISearchDocumentStore(as params "api_key", "azure_endpoint").
+Otherwise you can use DefaultAzureCredential to authenticate with Azure services.
+See more details at https://learn.microsoft.com/en-us/azure/search/keyless-connections?tabs=python%2Cazure-cli
+"""
 document_store = AzureAISearchDocumentStore(
     metadata_fields={"version": float, "label": str},
     index_name="document-store-example",
diff --git a/integrations/azure_ai_search/example/embedding_retrieval.py b/integrations/azure_ai_search/example/embedding_retrieval.py
index f026d77b8..20904f5f7 100644
--- a/integrations/azure_ai_search/example/embedding_retrieval.py
+++ b/integrations/azure_ai_search/example/embedding_retrieval.py
@@ -5,6 +5,15 @@
 from haystack_integrations.components.retrievers.azure_ai_search import AzureAISearchEmbeddingRetriever
 from haystack_integrations.document_stores.azure_ai_search import AzureAISearchDocumentStore
 
+"""
+This example demonstrates how to use the AzureAISearchEmbeddingRetriever to retrieve documents based on a query.
+To run this example, you'll need an Azure Search service endpoint and API key, which can either be
+set as environment variables (AZURE_SEARCH_SERVICE_ENDPOINT and AZURE_SEARCH_API_KEY) or
+provided directly to AzureAISearchDocumentStore(as params "api_key", "azure_endpoint").
+Otherwise you can use DefaultAzureCredential to authenticate with Azure services.
+See more details at https://learn.microsoft.com/en-us/azure/search/keyless-connections?tabs=python%2Cazure-cli
+"""
+
 document_store = AzureAISearchDocumentStore()
 
 model = "sentence-transformers/all-mpnet-base-v2"
diff --git a/integrations/azure_ai_search/tests/conftest.py b/integrations/azure_ai_search/tests/conftest.py
index 2101ced3b..2427d2550 100644
--- a/integrations/azure_ai_search/tests/conftest.py
+++ b/integrations/azure_ai_search/tests/conftest.py
@@ -10,7 +10,7 @@
 from haystack_integrations.document_stores.azure_ai_search import AzureAISearchDocumentStore
 
 # This is the approximate time in seconds it takes for the documents to be available in Azure Search index
-SLEEP_TIME_IN_SECONDS = 5
+SLEEP_TIME_IN_SECONDS = 10
 
 
 @pytest.fixture()