IT Support Chatbot Using Existing Portal Search

This n8n workflow template creates an IT support assistant chatbot that powers responses by querying an existing support portal's search functionality, implementing a lightweight RAG approach without the need for vector databases or data replication. A chat trigger captures user queries, which are processed by an AI agent equipped with a custom 'knowledgebase tool' that fetches relevant articles via the portal's API. Results are formatted and aggregated before being returned to the user, ensuring accurate, context-aware responses.

Key benefits include reduced setup time, lower costs, and simplified maintenance since document management stays with the original portal. It's ideal for teams wanting quick AI support automation without heavy infrastructure. The example uses Acuity Scheduling's help center but is easily customizable for any support site with a search API.

Use cases: Internal IT helpdesks, customer support for SaaS products, or any knowledge base-driven Q&A. Requirements include OpenAI for the LLM; add credentials for authenticated APIs. Test with queries like 'How do I connect iCloud to Acuity?' or 'Download past invoices.' Customize the subworkflow tool for your portal's API endpoints and response formatting.