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NEUFehler-Doktor und Wachturm: fehlgeschlagene n8n-Läufe in einfachen Worten erklärt und Ihnen gemailt. Neuigkeiten ansehen

Bibliothek / Kundensupport & Helpdesk

Kundensupport & Helpdesk

IT-Support-Fragen mit der vorhandenen Support-Suche beantworten

Wenn eine Chat-Nachricht eintrifft, durchsucht ein OpenAI-Agent die bestehende Support-Website über eine API und antwortet mit den relevanten Ergebnissen.

Was sie bewirkt

## 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 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 or ask in the Forum! Happy Hacking!

Die Schritte

  1. When chat message received
  2. OpenAI Chat Model
  3. Simple Memory
  4. Acuity Support Search API
  5. Extract Relevant Fields
  6. Results to Items
  7. Has Results?
  8. Empty Response
  9. Aggregate Response
  10. Knowledgebase Tool
  11. AcuityScheduling Support Chatbot
  12. KnowledgeBase Tool Subworkflow

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