Google Vertex AI and Microsoft Entra ID (Azure Active Directory) integration
How to connect Google Vertex AI and Microsoft Entra ID (Azure Active Directory)
Create a new workflow and add the first step
In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Build your own Google Vertex AI and Microsoft Entra ID (Azure Active Directory) integration
Create custom Google Vertex AI and Microsoft Entra ID (Azure Active Directory) workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Supported API Endpoints for Google Vertex AI
Generate content
This endpoint generates content based on the input provided.
Call function
This endpoint allows for calling functions as part of the generative tasks.
Ground content
This endpoint grounds the content to ensure relevance and context.
List API errors
This endpoint retrieves potential API errors that can occur during requests.
Generate text embeddings
This endpoint generates embeddings for given text inputs.
Generate multimodal embeddings
This endpoint generates embeddings that leverage multiple modalities.
Generate and edit images
This endpoint is used for generating and editing images based on input specifications.
Use code completions
API for generating code completion suggestions.
Perform batch predictions
API for executing batch predictions on data.
Batch prediction
API for performing batch prediction.
Tune models
API for tuning machine learning models.
Tuning model parameters
API for tuning model parameters.
Rapid evaluation
API for quickly evaluating model performance.
Evaluate model performance
API for rapid evaluation of models.
Use LlamaIndex
API for accessing the LlamaIndex for retrieval-augmented generations.
Manage extensions
API for managing custom extensions.
Manage extensions
API for handling extensions.
Count tokens
API for counting tokens in text inputs.
Use reasoning engine
API for performing reasoning tasks.
Utilize reasoning engine
API for using the reasoning engine capabilities.
Use MedLM API
API for accessing medical language models.
Access MedLM
API for accessing MedLM functionality.
Generate and edit images
API for generating and editing images.
Access LlamaIndex
API for accessing LlamaIndex functionality.
Count tokens
API for counting tokens in text.
To set up Google Vertex AI integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Google Vertex AI to query the data you need using the API endpoint URLs you provide.
These API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Google Vertex AI official documentation to get a full list of all API endpoints and verify the scraped ones!
Supported API Endpoints for Microsoft Entra ID (Azure Active Directory)
List Users
Retrieve a list of user objects.
Create User
Create a new user.
Get User
Retrieve the properties and relationships of user object.
Update User
Update the properties of a user object.
Delete User
Delete a user.
List Groups
Retrieve a list of group objects.
Create Group
Create a new group.
Get Group
Retrieve the properties and relationships of a group object.
Update Group
Update the properties of a group object.
Delete Group
Delete a group.
List Applications
Retrieve a list of application objects.
Create Application
Create a new application.
Get Application
Retrieve the properties and relationships of an application object.
Update Application
Update the properties of an application object.
Delete Application
Delete an application.
List Group Members
Retrieve a list of the members of a group.
Add Group Member
Add a member to a group.
Get Group Member
Retrieve a member of a group.
Remove Group Member
Remove a member from a group.
Update Group Member
Update the properties of a group member.
To set up Microsoft Entra ID (Azure Active Directory) integration, add the HTTP Request node to your workflow canvas and authenticate it using a predefined credential type. This allows you to perform custom operations, without additional authentication setup. The HTTP Request node makes custom API calls to Microsoft Entra ID (Azure Active Directory) to query the data you need using the URLs you provide.
See the example hereTake a look at the Microsoft Entra ID (Azure Active Directory) official documentation to get a full list of all API endpoints
Google Vertex AI and Microsoft Entra ID (Azure Active Directory) integration details
Google Vertex AI
Google Vertex AI is a unified machine learning platform that enables developers to build, deploy, and manage models efficiently. It provides a wide range of tools and services, such as AutoML and datasets, to accelerate the deployment of AI solutions.
Related categories
Microsoft Entra ID (Azure Active Directory)
Azure Active Directory (Azure AD) is Microsoft's cloud-based identity and access management service. It provides secure authentication and authorization for users, enabling them to access applications, resources, and services in the Azure cloud and other integrated applications.
Microsoft Entra ID (Azure Active Directory) credentials docs
Using predefined credential types
See Microsoft Entra ID (Azure Active Directory) integrations
Related categories
FAQ
Can Google Vertex AI connect with Microsoft Entra ID (Azure Active Directory)?
Can I use Google Vertex AI’s API with n8n?
Can I use Microsoft Entra ID (Azure Active Directory)’s API with n8n?
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