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 Google Vertex AI and Yodiz 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.
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!
Get Issue Meta
Retrieve metadata for issues in a specific project.
Get userstory meta
This endpoint returns userstory meta of given project.
Get task meta
This endpoint returns task meta of given project.
Get epic meta
This endpoint returns epic meta of given project.
Get projects
Retrieve a list of all projects.
Get projects
This endpoint retrieves all projects.
Create attachment
This endpoint associates the attachments with provided item of given project.
Get attachments
This endpoint retrieves all attachments of given item type.
Get Backlog
Retrieve the backlog items for a project.
Get backlog
This endpoint retrieves the backlog userstories of given project.
Get Users
Retrieve a list of users associated with a project.
Get users
This end point retrieves the backlog userstories of given project.
Get Comments
Retrieve comments associated with a project or issue.
Get comments
This end point retrieves all comments of given item type.
Get Attachments
Retrieve attachments related to an issue or project.
Add attachment
This end point allows adding an attachment to a resource.
Get Bulk Items
Retrieve bulk items across projects.
Create Userstory
Create a new userstory in the system.
Create Issue
Create a new issue associated with a project.
Create issue
This end point creates a new issue.
Get issue
This end point retrieves the specified issue.
Create Userstory Task
Create a new task under a userstory.
Get Sprint Issues
Retrieve issues associated with a specific sprint.
Get Releases
Retrieve a list of all releases in the system.
Create Epic
Create a new epic for managing larger bodies of work.
Get components
This end point retrieves all components of given project.
Get custom fields
This end point retrieves all custom fields for specified item type of given project.
Get bulk items
This endpoint retrieves bulk items based on item type and project IDs.
Get items
This endpoint retrieves bulk items along with their sub items.
Create userstory
This endpoint creates a new userstory of given project.
Get userstory
This endpoint retrieves a specific userstory based on the provided ID.
Get userstories
This endpoint retrieves all userstories of a given project.
Get userstory issues
This endpoint retrieves all issues of given userstory.
Get userstory sub items
This endpoint retrieves sub items for given userstory.
Update userstory
This endpoint updates an existing userstory.
Update userstory
This end point updates specified userstory.
To set up Yodiz 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 Yodiz 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 Yodiz 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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