[8.15] creates Google vertex guide for ESS#5549
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joepeeples
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joepeeples
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Added some optional nits but went ahead and approved since they come down to personal preference. Nice work!
| :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)
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Fixes #5373, adds an llm connector guide for Google Vertex.
Previews: Connect to Google Vertex
LLM connector guides