Forms On Fire and Google Vertex AI integration
How to connect Forms On Fire and Google Vertex AI
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 Forms On Fire and Google Vertex AI integration
Create custom Forms On Fire 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.
Supported API Endpoints for Forms On Fire
Get form
Returns the Published version of matching Forms or all versions of a single specified Form.
Get form screen
Returns the Form Screen matching the given parameters.
Get screen map search
Retrieves screen information for map search.
Search data sources
Finds all Data Sources matching the given parameters.
Get data source
Returns the Data Source matching the given parameters.
Search folders
Finds all Folders matching the given parameters.
Send push notification
Send a push notification to a specified user.
Send Push notification
This API allows you to send a push notification to a specified user.
Search form entries
Finds all Form Entries or all versions of a single specified Form.
Download form entry file
Download a media file captured on a given form Entry.
Get form entry
Returns the Form Entry matching the given parameters.
Search tasks
Finds all Tasks matching the given parameters.
Get task
Returns the Task matching the given parameters.
Search task
Searches for tasks.
Create task
Creates a new task.
Update task
Updates the details of a task.
Delete task
Deletes a task.
Get companies
Retrieve a list of companies based on search criteria.
List companies
Retrieve a list of companies.
Create company
Add a new company to the database.
Get company
Retrieve details of a specific company by its ID.
Create company
Create a new company in the system.
Update company
Updates the details of a company.
Get company
Retrieve details for a specific company.
Get data source
Retrieves information about a data source.
Update data source
Updates the details of a data source.
Get users
Retrieves a list of users.
Create user
Creates a new user.
Update user
Updates the details of a user.
Delete user
Deletes a user.
Delete usergroup
Deletes a user group.
Update usergroup
Updates the details of a user group.
Create usergroup
Creates a new user group.
Search usergroup
Searches for user groups.
Create repository API
Creates a new repository API.
To set up Forms On Fire 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 Forms On Fire 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 Forms On Fire official documentation to get a full list of all API endpoints and verify the scraped ones!
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.
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!
Forms On Fire and Google Vertex AI 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
FAQ
Can Forms On Fire connect with Google Vertex AI?
Can I use Forms On Fire’s API with n8n?
Can I use Google Vertex AI’s API with n8n?
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