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 AWS SES and DocsBot 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.
Create
Create a new custom verification email template
Delete
Delete an existing custom verification email template
Get
Get the custom email verification template
Get Many
Get many of the existing custom verification email templates for your account
Send
Add an email address to the list of identities
Update
Update an existing custom verification email template
Send
Send Template
Create
Create a template
Delete
Delete a template
Get
Get a template
Get Many
Get many templates
Update
Update a template
Create chat
This endpoint allows you to create a chat by sending a question along with optional chat history.
List teams
Retrieve a list of all teams associated with the user account.
Create chat
This endpoint allows you to send a question to the chat API.
Stream chat
This endpoint is used to create a full chat interface in your product.
Create chat
This endpoint accepts a POST request to interact with the chat agent.
Search query
This endpoint allows you to search for a given query in the documentation.
To set up DocsBot 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 DocsBot 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 DocsBot AI official documentation to get a full list of all API endpoints and verify the scraped ones!
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