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 Sentry.io 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.
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 Chatling official documentation to get a full list of all API endpoints and verify the scraped ones!
Get
Get event by ID
Get Many
Get many events
Delete
Delete an issue
Get
Get issue by ID
Get Many
Get many issues
Update
Update an issue
Create
Create an organization
Get
Get organization by slug
Get Many
Get many organizations
Update
Update an organization
Create
Create a new project
Delete
Delete a project
Get
Get project by ID
Get Many
Get many projects
Update
Update a project
Create
Create a release
Delete
Delete a release
Get
Get release by version identifier
Get Many
Get many releases
Update
Update a release
Create
Create a new team
Delete
Delete a team
Get
Get team by slug
Get Many
Get many teams
Update
Update a team
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