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 GitLab and SiteSpeakAI 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.
Create
Create a new file in repository
Delete
Delete a file in repository
Edit
Edit a file in repository
Get
Get the data of a single file
List
List contents of a folder
Create
Create a new issue
Create Comment
Create a new comment on an issue
Edit
Edit an issue
Get
Get the data of a single issue
Lock
Lock an issue
Create
Create a new release
Delete
Delete a release
Get
Get a release
Get Many
Get many releases
Update
Update a release
Get
Get the data of a single repository
Get Issues
Returns issues of a repository
Get Repositories
Returns the repositories of a user
Retrieve settings
Returns the settings for the chatbot.
Get conversation history
Returns the conversations your visitors has had with your chatbot.
Send query to chatbot
Queries your chatbot and returns the answer and URLs used to find the answer.
Retrieve user account details
Retrieves your user account details and validates that your token is active.
Retrieve all chatbots
Retrieves a list of all chatbots in your account.
To set up SiteSpeakAI 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 SiteSpeakAI 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 SiteSpeakAI official documentation to get a full list of all API endpoints and verify the scraped ones!
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