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 Chatling 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.
List chatbot templates
Get a list of all the available chatbot templates.
Create chatbot
Create a new chatbot.
List chatbots
Get a list of all existing chatbots.
Retrieve chatbot
Retrieve details of a specific chatbot.
Update chatbot settings
Update settings for a specific chatbot.
List contacts
Get a list of all contacts.
Retrieve contact
Retrieve details of a specific contact.
Delete contact
Delete a specific contact.
Delete contact
Delete a specific contact from the project.
List conversations
Get a list of all conversations.
Retrieve conversation
Retrieve details of a specific conversation.
List data sources
Get a list of all data sources in the knowledge base.
List settings
Retrieve a list of project settings.
Update settings
Update the project settings.
List members
Retrieve a list of project members.
List AI models
Retrieve a list of available AI models.
List AI languages
Retrieve a list of supported AI languages.
Chat
Send a chat request to the AI service.
Add link
Add a link to the knowledge base.
Add text
Add text to the knowledge base.
To set up Chatling 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 Chatling 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 Chatling official documentation to get a full list of all API endpoints and verify the scraped ones!
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.
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 Radar official documentation to get a full list of all API endpoints and verify the scraped ones!
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