# VertexAI

## Integrate VertexAI

The following applies to the managed integration setup. For LLM integration of Google VertexAI, [follow here](/platform/nlx-platform-guide/integrations/types/llm-services/google-vertex-ai.md) instead.

1. [Enable Vertex AI APIs in your Google Cloud project](https://cloud.google.com/vertex-ai/docs/start/cloud-environment)
2. Create a [service account](https://cloud.google.com/iam/docs/service-account-overview) in the Google Cloud project
3. [Create a custom service account for Vertex A](https://cloud.google.com/vertex-ai/docs/general/custom-service-account)
4. Assign the Vertex AI Service Agent role to the service account from step 2
5. [Create a service account key](https://cloud.google.com/iam/docs/keys-create-delete#console) in JSON format for NLX and download it
6. Copy/paste the entire JSON text into the NLX field

{% hint style="info" %}
At any time, you may edit or delete your Google integration by expanding the integration name and selecting the edit or delete links. 
{% endhint %}

***

## Using VertexAI managed integation

To successfully use your Google integration with conversations created in your workspace, be sure to complete the following:

* [ ] create a [flow](/platform/nlx-platform-guide/flows-and-building-blocks/overview.md)
* [ ] add a [*Generative Journey* node in *Agentic* mode](/platform/nlx-platform-guide/flows-and-building-blocks/overview/nodes.md#generative-journey) and attach your Google integration as a Tool, or use a [*Data request* node in *Built-in* mode](/platform/nlx-platform-guide/flows-and-building-blocks/overview/nodes.md#data-request) with your integration assigned and payload fields completed
* [ ] create a [build & deploy](/platform/nlx-platform-guide/ai-applications/setup.md#deployment)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.nlx.ai/platform/nlx-platform-guide/integrations/types/managed-integrations/vertexai.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.