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Fixes Google Vertex setup guide bug #670

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merged 2 commits into from
Mar 5, 2025
Merged

Fixes Google Vertex setup guide bug #670

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Fixes Google Vertex setup guide bug
benironside Mar 5, 2025
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Merge branch 'main' into 364-google-vertex-update
benironside Mar 5, 2025
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6 changes: 3 additions & 3 deletions solutions/security/ai/connect-to-google-vertex.md
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Expand Up @@ -13,7 +13,7 @@ mapped_urls:
% - [x] ./raw-migrated-files/security-docs/security/connect-to-vertex.md
% - [ ] ./raw-migrated-files/docs-content/serverless/security-connect-to-google-vertex.md

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.
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 a key, and finally configure the connector in your {{elastic-sec}} project.

::::{important}
Before continuing, you should have an active project in one of Google Vertex AI’s [supported regions](https://cloud.google.com/vertex-ai/docs/general/locations#feature-availability).
Expand Down Expand Up @@ -74,7 +74,7 @@ The following video demonstrates these steps.



## Generate an API key [_generate_an_api_key]
## Generate a key [_generate_an_api_key]

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**.
Expand Down Expand Up @@ -108,7 +108,7 @@ Finally, configure the connector in your Elastic deployment:
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`. [Learn more about the models](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models).
7. Under **Authentication**, enter your API key.
7. Under **Authentication**, enter your credentials JSON.
8. Click **Save**.

The following video demonstrates these steps.
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