diff --git a/libs/aws/tests/integration_tests/retrievers/test_amazon_kendra_retriever.py b/libs/aws/tests/integration_tests/retrievers/test_amazon_kendra_retriever.py
new file mode 100644
index 00000000..24ecb9dc
--- /dev/null
+++ b/libs/aws/tests/integration_tests/retrievers/test_amazon_kendra_retriever.py
@@ -0,0 +1,76 @@
+from typing import Any
+from unittest.mock import Mock
+
+import pytest
+
+from langchain_aws import AmazonKendraRetriever
+from langchain_aws.retrievers.kendra import RetrieveResultItem
+
+
+@pytest.fixture
+def mock_client() -> Mock:
+    mock_client = Mock()
+    return mock_client
+
+
+@pytest.fixture
+def retriever(mock_client: Any) -> AmazonKendraRetriever:
+    return AmazonKendraRetriever(
+        index_id="test_index_id", client=mock_client, top_k=3, min_score_confidence=0.6
+    )
+
+
+def test_get_relevant_documents(retriever, mock_client) -> None:  # type: ignore[no-untyped-def]
+    # Mock data for Kendra response
+    mock_retrieve_result = {
+        "QueryId": "test_query_id",
+        "ResultItems": [
+            RetrieveResultItem(
+                Id="doc1",
+                DocumentId="doc1",
+                DocumentURI="https://example.com/doc1",
+                DocumentTitle="Document 1",
+                Content="This is the content of Document 1.",
+                ScoreAttributes={"ScoreConfidence": "HIGH"},
+            ),
+            RetrieveResultItem(
+                Id="doc2",
+                DocumentId="doc2",
+                DocumentURI="https://example.com/doc2",
+                DocumentTitle="Document 2",
+                Content="This is the content of Document 2.",
+                ScoreAttributes={"ScoreConfidence": "MEDIUM"},
+            ),
+            RetrieveResultItem(
+                Id="doc3",
+                DocumentId="doc3",
+                DocumentURI="https://example.com/doc3",
+                DocumentTitle="Document 3",
+                Content="This is the content of Document 3.",
+                ScoreAttributes={"ScoreConfidence": "HIGH"},
+            ),
+        ],
+    }
+
+    mock_client.retrieve.return_value = mock_retrieve_result
+
+    query = "test query"
+
+    docs = retriever.get_relevant_documents(query)
+
+    # Only documents with confidence score of HIGH are returned
+    assert len(docs) == 2
+    assert docs[0].page_content == (
+        "Document Title: Document 1\nDocument Excerpt: \n"
+        "This is the content of Document 1.\n"
+    )
+    assert docs[1].page_content == (
+        "Document Title: Document 3\nDocument Excerpt: \n"
+        "This is the content of Document 3.\n"
+    )
+
+    # Assert that the mock methods were called with the expected arguments
+    mock_client.retrieve.assert_called_with(
+        IndexId="test_index_id", QueryText="test query", PageSize=3
+    )
+    mock_client.query.assert_not_called()