Process Chat Triggers via HTTP API and Execute Sub-tasks

## Try it Out!
### This n8n template demonstrates how you can leverage existing support site search to power your Support Chatbots and agents.

Building a support chatbot need not be complicated! If building and indexing vector stores or duplicating data isn't necessarily your thing, an alternative implementation of the [RAG]({{ $env.WEBHOOK_URL }} approach is to leverage existing knowledge-bases such as support portals.

### How it works
* A simple AI agent is connected with chat trigger to receive user queries.
* The AI agent is instructed to fetch information from the knowledge-base via the attached custom workflow tool (aka "knowledgebase tool").
* There is no step to replicate the entire support articles database into a vector store. You may choose not too because of time, cost and maintainence involved.
* Instead, the tool leverages the existing support portal's search API to retrieve knowledge-base articles.
* Finally, the search results are formatted before sending an aggregated response back to the agent.

### How to use?
* Customise the subworkflow to work with your own support portal API and format accordingly.
* Try the following queries
  * How do I connect my icloud to acuityScheduling?
  * How do I download past invoices for my Acuity account?

### Requirements
* OpenAI for LLM.
* If your organisation's APIs require authorisation, you may need to add custom credentials as necessary.

### Customising this workflow
* Add additional tools to reach other parts of your internal knowledgebase.
* Not using OpenAI? Feel free to swap but ensure the LLM has tools/function calling support.


### Need Help?
Join the [Discord]({{ $env.WEBHOOK_URL }} or ask in the [Forum]({{ $env.WEBHOOK_URL }}

Happy Hacking!