diff --git a/docs/docs/Integrations/Google/integrations-setup-google-cloud-vertex-ai-langflow.md b/docs/docs/Integrations/Google/integrations-setup-google-cloud-vertex-ai-langflow.md
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+---
+title: 'Integrate Google Cloud Vertex AI with Langflow'
+slug: /integrations-setup-google-cloud-vertex-ai-langflow
+sidebar_position: 2
+description: "A comprehensive guide on creating a Google OAuth app, obtaining tokens, and integrating them with Langflow's Google components."
+---
+
+Langflow integrates with the [Google Vertex AI API](https://console.cloud.google.com/marketplace/product/google/aiplatform.googleapis.com) for authenticating the [Vertex AI embeddings model](/components-embedding-models#vertexai-embeddings) and [Vertex AI](/components-models#vertexai) components.
+
+Learn how to create a service account JSON in Google Cloud to authenticate Langflow’s Vertex AI components.
+
+## Create a service account with Vertex AI access
+
+1. Select and enable your Google Cloud project.
+For more information, see [Create a Google Cloud project](https://developers.google.com/workspace/guides/create-project).
+2. Create a service account in your Google Cloud project.
+For more information, see [Create a service account](https://developers.google.com/workspace/guides/create-credentials#service-account).
+3. Assign the **Vertex AI Service Agent** role to your new account.
+This role allows Langflow to access Vertex AI resources.
+For more information, see [Vertex AI access control with IAM](https://cloud.google.com/vertex-ai/docs/general/access-control).
+4. To generate a new JSON key for the service account, navigate to your service account.
+5. Click **Add Key**, and then click **Create new key**.
+6. Under **Key type**, select **JSON**, and then click **Create**.
+A JSON private key file is downloaded.
+Now that you have a service account and a JSON private key, you need to configure the credentials in Langflow components.
+
+## Configure credentials in Langflow components
+
+With your service account configured and your credentials JSON file created, follow these steps to authenticate the Langflow application.
+
+1. Create a new project in Langflow.
+2. From the components sidebar, drag and drop either the **Vertex AI** or **Vertex AI Embeddings** component to your workspace.
+3. In the Vertex AI component's **Credentials** field, add the service account JSON file.
+4. Confirm the component can access the Vertex AI resources.
+Connect a **Chat input** and **Chat output** component to the Vertex AI component.
+A successful chat confirms the component has access to the Vertex AI resources.
+
+![Configure Vertex AI Credentials in Langflow](/img/google/configure-vertex-ai-credentials-in-langflow.gif)
+
diff --git a/docs/sidebars.js b/docs/sidebars.js
index f9e50d97c..03560f28c 100644
--- a/docs/sidebars.js
+++ b/docs/sidebars.js
@@ -106,10 +106,11 @@ module.exports = {
         "Integrations/integrations-langsmith",
         "Integrations/integrations-langwatch",
         {
-          type: "category",
-          label: "Google",
+          type: 'category',
+          label: 'Google',
           items: [
-            "Integrations/Google/integrations-setup-google-oauth-langflow",
+            'Integrations/Google/integrations-setup-google-oauth-langflow',
+            'Integrations/Google/integrations-setup-google-cloud-vertex-ai-langflow',
           ],
         },
         {
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