See llms.txt for all machine-readable content.
See example at support.noduslabs.com or a screenshot below:
Also, compare it to the original Zendesk AI chatbot available at our other website https://infranodus.com — you will see that the quality of responses in this custom chatbot is much better than in the native Zendesk one, plus you save subscription because you won't need to activate their chat option, which is $25 per agent.
In this workflow, we use the n8n AI Agent Node with a custom prompt that:
• Get an InfraNodus API key and add it into InfraNodus GraphRAG node.
• Edit the InfraNodus Graph node to provide the name of the graph that you will be using as ontology (you need to create it in InfraNodus first.
• Edit the AI Agent (Support Agent) prompt to modify our custom instructions for your particular use case (do not change it too much as it works quite well and tells the agent what it should do and in what sequence).
• Add the API key for your Zendesk account. In order to get it, go to your support portal Admin > Apps & Integrations > API Tokens. Usually it's located at https://noduslabs.zendesk.com/admin/apps-integrations/apis/api-tokens where instead of noduslabs you need to put the name of your support portal.
Note: the official n8n Zendesk node does not have an endpoint to search and extract articles from support portal, so we use the custom HTTP node, but you can still connect to it via the Zendesk API key you have installed in your n8n.
If you wan to create your own reasoning ontology graphs, please, refer to this article on generating your own knowledge graph ontologies.
Specifically for this use case: Building ontology for your n8n AI chat bot.
You may also be interested to watch this video that explains the logic of this approach in detail:
Our support article for this workflow with real-life example: Building an embeddable AI chatbot agent for your Zendesk knowledge portal.
To get support and help, contact us via support.noduslabs.com
Learn more about InfraNodus at www.infranodus.com