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[[connect-to-vertex]] | ||
= Connect to Google Vertex | ||
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:frontmatter-description: Set up a Google Vertex LLM connector. | ||
:frontmatter-tags-products: [security] | ||
:frontmatter-tags-content-type: [guide] | ||
:frontmatter-tags-user-goals: [get-started] | ||
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This page provides step-by-step instructions for setting up a Google Vertex AI connector for the first time. This connector type enables you to leverage Vertex AI's large language models (LLMs) within {elastic-sec}. You'll first need to enable Vertex AI, then generate an API key, and finally configure the connector in your {elastic-sec} project. | ||
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IMPORTANT: Before continuing, you should have an active project in one of Google Vertex AI's https://cloud.google.com/vertex-ai/docs/general/locations#feature-availability[supported regions]. | ||
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[discrete] | ||
== Enable the Vertex AI API | ||
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1. Log in to the GCP console and navigate to **Vertex AI → Vertex AI Studio → Overview**. | ||
2. If you're new to Vertex AI, the **Get started with Vertex AI Studio** popup appears. Click **Vertex AI API**, then click **ENABLE**. | ||
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The following video demonstrates these steps. | ||
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======= | ||
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<script type="text/javascript" async src="https://play.vidyard.com/embed/v4.js"></script> | ||
<img | ||
style="width: 100%; margin: auto; display: block;" | ||
class="vidyard-player-embed" | ||
src="https://play.vidyard.com/vFhtbiCZiKhvdZGy2FjyeT.jpg" | ||
data-uuid="vFhtbiCZiKhvdZGy2FjyeT" | ||
data-v="4" | ||
data-type="inline" | ||
/> | ||
</br> | ||
++++ | ||
======= | ||
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NOTE: For more information about enabling the Vertex AI API, refer to https://cloud.google.com/vertex-ai/docs/start/cloud-environment[Google's documentation]. | ||
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[discrete] | ||
== Create a Vertex AI service account | ||
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1. In the GCP console, navigate to **APIs & Services → Library**. | ||
2. Search for **Vertex AI API**, select it, and click **MANAGE**. | ||
3. In the left menu, navigate to **Credentials** then click **+ CREATE CREDENTIALS** and select **Service account**. | ||
4. Name the new service account, then click **CREATE AND CONTINUE**. | ||
5. Under **Select a role**, select **Vertex AI User**, then click **CONTINUE**. | ||
6. Click **Done**. | ||
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The following video demonstrates these steps. | ||
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======= | ||
++++ | ||
<script type="text/javascript" async src="https://play.vidyard.com/embed/v4.js"></script> | ||
<img | ||
style="width: 100%; margin: auto; display: block;" | ||
class="vidyard-player-embed" | ||
src="https://play.vidyard.com/tmresYYiags2w2nTv3Gac8.jpg" | ||
data-uuid="tmresYYiags2w2nTv3Gac8" | ||
data-v="4" | ||
data-type="inline" | ||
/> | ||
</br> | ||
++++ | ||
======= | ||
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[discrete] | ||
== Generate an API key | ||
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1. Return to Vertex AI's **Credentials** menu and click **Manage service accounts**. | ||
2. Search for the service account you just created, select it, then click the link that appears under **Email**. | ||
3. Go to the **KEYS** tab, click **ADD KEY**, then select **Create new key**. | ||
4. Select **JSON**, then click **CREATE** to download the key. Keep it somewhere secure. | ||
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The following video demonstrates these steps. | ||
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======= | ||
++++ | ||
<script type="text/javascript" async src="https://play.vidyard.com/embed/v4.js"></script> | ||
<img | ||
style="width: 100%; margin: auto; display: block;" | ||
class="vidyard-player-embed" | ||
src="https://play.vidyard.com/hrcy3F9AodwhJcV1i2yqbG.jpg" | ||
data-uuid="hrcy3F9AodwhJcV1i2yqbG" | ||
data-v="4" | ||
data-type="inline" | ||
/> | ||
</br> | ||
++++ | ||
======= | ||
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[discrete] | ||
== Configure the Google Gemini connector | ||
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Finally, configure the connector in your Elastic deployment: | ||
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1. Log in to your Elastic deployment. | ||
2. Navigate to **Stack Management → Connectors → Create Connector → Google Gemini**. | ||
3. Name your connector to help keep track of the model version you are using. | ||
4. Under **URL**, enter the URL for your region. | ||
5. Enter your **GCP Region** and **GCP Project ID**. | ||
6. Under **Default model**, specify either `gemini-1.5.pro` or `gemini-1.5-flash`. https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models[Learn more about the models]. | ||
7. Under **Authentication**, enter your API key. | ||
8. Click **Save**. | ||
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The following video demonstrates these steps. | ||
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======= | ||
++++ | ||
<script type="text/javascript" async src="https://play.vidyard.com/embed/v4.js"></script> | ||
<img | ||
style="width: 100%; margin: auto; display: block;" | ||
class="vidyard-player-embed" | ||
src="https://play.vidyard.com/8L2WPm2HKN1cH872Gs5uvL.jpg" | ||
data-uuid="8L2WPm2HKN1cH872Gs5uvL" | ||
data-v="4" | ||
data-type="inline" | ||
/> | ||
</br> | ||
++++ | ||
======= |
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