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 Acquire 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.
Authorize OAuth
Initiate the OAuth authorization process.
Tracklog
Log tracking information for OAuth.
Authorize user
Handles the authorization process for OAuth.
Track log
Tracks the log of OAuth operations.
List profiles
Retrieve the list of user profiles.
List profiles
Retrieve a list of profiles.
Create profile feedback
Submit feedback for a profile.
Get profile details
Retrieve details for a specific profile.
Send a message
Send a message associated with a profile.
List profile tags
Retrieve a list of tags associated with profiles.
List profile agents
Retrieve a list of agents associated with profiles.
Create or update a profile
Add or update profile information.
Delete a profile
Remove a profile from the system.
Get profile visit history
Retrieve the history of visits for a specific profile.
List sender emails
Retrieve a list of sender emails associated with profiles.
List feedback
Retrieve feedback associated with profiles.
Add or update profile
Create or update profile information.
List profiles
Retrieves a list of profiles.
Manage tags
Handles the tags associated with profiles.
Manage campaigns
Handles campaigns related to profiles.
Manage sender emails
Handles the sender emails associated with profiles.
List profiles
Retrieves a list of user profiles.
List chat notes
Get notes associated with a specific chat.
Get chat statistics
Retrieve statistics on chat sessions.
Get team analytics
Fetches analytics data related to the team.
Get conversion rate
Retrieves the conversion rate from analytics.
List agents
Retrieve a list of all agents.
Add agent
Create a new agent in the system.
Edit agent
Update details for a specific agent.
Save operating hours
Set the operating hours for the service.
Get operating hours
Retrieve the operating hours of the service.
Activate bot
This endpoint activates or refreshes the Bot for the session.
List campaigns
Retrieve a list of marketing campaigns.
List messages
Retrieve messages sent by users.
Get FAQ categories
Retrieve categories for FAQs.
Get setup details
Retrieve details about the setup.
List articles
Retrieve recent articles from the knowledge base.
Get suggestions
Retrieve article suggestions for users.
List triggers
Retrieve a list of triggers configured in the system.
Get webhook data
Retrieves huge data about visitor including visitor ID and chat ID.
Integrate your chatbot
Integrate a chatbot into the software.
Logout visitor
Remove all acquire data from your app related to visitorHash.
Get Visitor ID
Retrieve the visitor ID from the SDK.
Set user details
Set your user details for visitor identification.
To set up Acquire 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 Acquire 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 Acquire 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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