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 HTTP Request 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!
Discover our latest community's recommendations and join the discussions about Chatling and HTTP Request integration.
Moiz Contractor
Describe the problem/error/question Hi, I am getting a - Google hasnt verified this app error. I have Enable the API, the domain is verified on the Cloud Console, the user is added in the search console and the google do…
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theo
Describe the problem/error/question I a http request node, I use a Google service account API credential type. I need the “Impersonate a User” field to be dynamic, pulling data from the “email” field in the previous nod…
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Jon
Describe the problem/error/question I have a simple workflow that retrieves an image from url with http node and prints the json/binary in code. I have a few logs, but I am confused why I see duplicate messages for each …
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Dan Burykin
Hi! I’m still in the beginning. Now I need to make an API call via HTTP node, and send all static parameters, but with the array of emails parameter (named it wrongly just to show what I need {{ $json.email[all] }}). Wo…
Open topic
Tony
Hi! I have a question: I am making an app that allows a person to scrape some data via a Python library. I have a Python script that needs to be triggered after certain user actions. What is the best way to: Send a p…
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