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.
Create custom ActiveCampaign and Google Vertex AI 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.
Create
Create an account
Delete
Delete an account
Get
Get data of an account
Get Many
Get data of many accounts
Update
Update an account
Create
Create an association
Delete
Delete an association
Update
Update an association
Create
Create a connection
Delete
Delete a connection
Get
Get data of a connection
Get Many
Get data of many connections
Update
Update a connection
Create
Create a contact
Delete
Delete a contact
Get
Get data of a contact
Get Many
Get data of many contacts
Update
Update a contact
Add
Add contact to a list
Remove
Remove contact from a list
Add
Add a tag to a contact
Remove
Remove a tag from a contact
Create
Create a deal
Create Note
Create a deal note
Delete
Delete a deal
Get
Get data of a deal
Get Many
Get data of many deals
Update
Update a deal
Update Deal Note
Update a deal note
Create
Create a E-commerce Customer
Delete
Delete a E-commerce Customer
Get
Get data of a E-commerce Customer
Get Many
Get data of many E-commerce Customers
Update
Update a E-commerce Customer
Create
Create a order
Delete
Delete a order
Get
Get data of a order
Get Many
Get data of many orders
Update
Update a order
Get Many
Get data of many order products
Get by Product ID
Get data of a ordered product
Get by Order ID
Get data of an order's products
Get Many
Get many lists
Create
Create a tag
Delete
Delete a tag
Get
Get data of a tag
Get Many
Get data of many tags
Update
Update a tag
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.
See the example hereThese 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!
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.
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