From 6ee4eb22e87c32790a1903905bb627eb2bc3cb1c Mon Sep 17 00:00:00 2001 From: Benjamin Ironside Goldstein Date: Wed, 5 Mar 2025 12:22:59 -0800 Subject: [PATCH] Fixes Google Vertex setup guide bug --- solutions/security/ai/connect-to-google-vertex.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/solutions/security/ai/connect-to-google-vertex.md b/solutions/security/ai/connect-to-google-vertex.md index e6d4db5850..3e34d0ddea 100644 --- a/solutions/security/ai/connect-to-google-vertex.md +++ b/solutions/security/ai/connect-to-google-vertex.md @@ -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). @@ -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**. @@ -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.