Google Vertex AI and Radar integration
How to connect Google Vertex AI and Radar
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 Google Vertex AI and Radar integration
Create custom Google Vertex AI and Radar 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 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!
Supported API Endpoints for Radar
Track location
Tracks a location update and returns the user and the events generated.
Get context
Gets context for a location based on coordinates.
Forward geocode address
Geocodes an address, converting address to coordinates.
Reverse geocode coordinates
Reverse geocodes a location, converting coordinates to address.
Get geocode by IP address
Geocodes the requester's IP, converting IP address to city, state, and country.
Autocomplete addresses
Autocompletes partial addresses and place names, sorted by relevance and proximity.
Search users
Searches for users near a location, sorted by distance.
Search geofences
Searches for geofences near a location, sorted by distance.
Search places
Searches for places near a location, sorted by distance.
Validate address
Validates the input address.
Calculate distance
Calculates the travel distance and duration between an origin and a destination.
Calculate distance matrix
Calculates the travel distances and durations between multiple origins and destinations for up to 625 routes.
Match route
Snaps points collected along a route to roads that were most likely traveled on.
Get directions
Calculates the most efficient route between two or more locations to visit in order.
Optimize route
Calculates the optimal ordering and route to visit a list of locations.
Create user
This endpoint allows the creation of a new user in the Radar system.
List users
This endpoint retrieves a list of users tracked in your project.
Update user
This endpoint updates the information of an existing user.
Delete user
This endpoint removes a user from the Radar system.
List users
Lists users sorted by updatedAt.
Get user
Gets a user referenced by Radar _id, userId, or deviceId.
Delete user
Deletes a user which can be referenced by Radar _id, userId, or deviceId.
To set up Radar 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 Radar 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 Radar official documentation to get a full list of all API endpoints and verify the scraped ones!
Google Vertex AI and Radar 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 Google Vertex AI connect with Radar?
Can I use Google Vertex AI’s API with n8n?
Can I use Radar’s API with n8n?
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