diff --git a/x-pack/plugins/enterprise_search/server/lib/ml/utils.ts b/x-pack/plugins/enterprise_search/server/lib/ml/utils.ts
index 5d31216b22e22..19a43059d3a08 100644
--- a/x-pack/plugins/enterprise_search/server/lib/ml/utils.ts
+++ b/x-pack/plugins/enterprise_search/server/lib/ml/utils.ts
@@ -87,7 +87,7 @@ export const E5_MODEL_PLACEHOLDER: MlModel = {
   title: 'E5 (EmbEddings from bidirEctional Encoder rEpresentations)',
   description: i18n.translate('xpack.enterpriseSearch.modelCard.e5Placeholder.description', {
     defaultMessage:
-      'E5 is an NLP model that enables you to perform multi-lingual semantic search by using dense vector representations. This model performs best for non-English language documents and queries.',
+      'E5 is a third party NLP model that enables you to perform multi-lingual semantic search by using dense vector representations. This model performs best for non-English language documents and queries.',
   }),
   licenseType: 'mit',
   modelDetailsPageUrl: 'https://ela.st/multilingual-e5-small',
diff --git a/x-pack/plugins/ml/public/application/model_management/add_model_flyout.tsx b/x-pack/plugins/ml/public/application/model_management/add_model_flyout.tsx
index cf4efb4846fc0..cb908b8a52308 100644
--- a/x-pack/plugins/ml/public/application/model_management/add_model_flyout.tsx
+++ b/x-pack/plugins/ml/public/application/model_management/add_model_flyout.tsx
@@ -212,7 +212,7 @@ const ClickToDownloadTabContent: FC<ClickToDownloadTabContentProps> = ({
                   <EuiText color={'subdued'} size={'s'}>
                     <FormattedMessage
                       id="xpack.ml.trainedModels.addModelFlyout.e5Description"
-                      defaultMessage="E5 is an NLP model that enables you to perform multi-lingual semantic search by using dense vector representations. This model performs best for non-English language documents and queries."
+                      defaultMessage="E5 is a third party NLP model that enables you to perform multi-lingual semantic search by using dense vector representations. This model performs best for non-English language documents and queries."
                     />
                   </EuiText>
                 </p>