[8.15] creates Google vertex guide for ESS #5549
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| :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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Nice context-setting intro!
| == 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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Optional nit: I'm not a fan of replicating all-caps for UI labels, because it feels like yelling (especially if it happens more than just once or twice in a doc). But I don't think we have any style guidelines about it, so it might come down to personal preference.
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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**. |
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Similar preference: when UI labels include extraneous typographical symbols like + or >>, I tend to omit them. They seem distracting in docs and usually aren't necessary for readers to understand which button you're referring to.
(cherry picked from commit 5d44e69)
(cherry picked from commit 5d44e69) Co-authored-by: Benjamin Ironside Goldstein <[email protected]>
Fixes #5373, adds an llm connector guide for Google Vertex.
Previews: Connect to Google Vertex
LLM connector guides