Vertex AI

Before you begin

Before starting, you'll need:

• The JSON key token for your GCP service account.

• Your GCP service account's email address.

If you don't have a GCP service account created yet, check out our guide How to Create a GCP Service Account for use with Google Vertex AI.

Configure the AI integration

1. Click AI Platforms from the main menu.

2. Select Google Vertex AI.

Vertex AI Card

1. Enter the name, your service account's JSON key, and select your region using the Vertex AI Parameters table below as a guide, then click Create Google Vertex AI Integration.

Vertex AI Configuration

Vertex AI Parameters

Field	Description	Required
Name	A descriptive name to identify the integration within Vectorize.	Yes
Service Account JSON	The JSON key token for your GCP service account.	Yes
Region	The Google region to use.	Yes

Configuring the Vertex AI integration in a RAG Pipeline

You can think of the Vertex AI integration as having two parts to it. The first is authorization for your region. This part is re-usable across pipelines and allows you to connect to this same integration in different pipelines without providing the credentials and specifying the region every time.

The second part is the configuration that's specific to your RAG Pipeline, which allows you to specify which foundation model to use.

Vertex AI Configuration

What's next?

• If you haven't yet built a connector to your source database, go to configure a source connector and select your source data platform.

  OR

• If you're ready to start creating pipelines for vectorizing data, head to Pipeline Basics.