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 Ably 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.
Get channel
Creates a new Channel object if none for the channel exists, or returns the existing channel object.
Release channel
Releases a Channel object, deleting it and enabling it to be garbage collected.
List messages
Retrieve messages sent to a specified channel.
Publish message
Publish a message on a channel.
Publish message
Publish a message to a specified channel with optional parameters.
Retrieve presence status
Obtain the set of members currently present for a channel.
Retrieve presence state history
Obtain the history of presence messages for a channel.
Retrieve metadata
This returns ChannelDetails for the given channel, indicating global occupancy.
Enumerate all active channels
This enumerates all active channels in the application.
Release channel
Releases a Channel object, deleting it and enabling it to be garbage collected.
Publish message
Publish a single message on this channel based on a given event name and payload.
List messages
Retrieve a list of messages from a specific channel.
Publish message
Sends a message to a channel.
Get channel history
Gets a paginated set of historical messages for this channel.
Retrieve message history
Fetches the history of messages published on a channel.
Create token request
Creates and signs an Ably TokenRequest based on the specified tokenParams and authOptions.
Authenticate server
Authenticates a server with Ably and creates access tokens for clients.
Retrieve presence state
Obtains the current presence state of clients in a channel.
Retrieve application usage statistics
Fetches statistics for application usage over a specified period.
Register device
Register a device for receiving push notifications.
Update device registration
Update a device registration by replacing existing details.
List channels
Retrieve all channels with at least one subscribed device.
Publish notification
Send a push notification to a single device or set of devices.
Get details from a registered device
Obtain the details for a device registered for receiving push registrations.
List registered devices
Obtain the details for devices registered for receiving push registrations.
Unregister device
Unregisters a single device by its device ID, deleting all its subscriptions for receiving push notifications through channels.
Unregister devices
Unregisters devices, deleting all their subscriptions for receiving push notifications through channels.
Subscribe to channel
Subscribe a single device or all devices associated with a client ID to receive push notifications from messages sent to a channel.
Revoke tokens
Revoke tokens using the specified key name.
Publish message
Publish a single message on this channel based on a given event name and payload.
To set up Ably 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 Ably 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 Ably official documentation to get a full list of all API endpoints and verify the scraped ones!
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!
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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