Automated Slack IT helpdesk with GPT, Supabase vector search, and JIRA ticketing

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Who is this for? IT teams and support organizations looking to automate Level 1 support with AI-powered assistance while maintaining proper ticket management workflows.

What problem does this solve? Eliminates repetitive manual support tasks by providing instant, context-aware assistance that references organizational knowledge and creates structured tickets when needed.

What this workflow does - RAG Pipeline: Processes PDF/CSV documents into searchable vector database - Intelligent Slack Bot: This AI-helpdesk assistant handles support requests with thread-aware conversations - Vector Knowledge Search: Searches embedded knowledge base articles and historical case data - JIRA Integration: Creates, searches, and manages support tickets automatically - Emoji Reactions: Users can trigger actions (create tickets, escalate) via emoji reactions

Requirements Required Accounts: - n8n Cloud or self-hosted instance - Slack workspace with admin access - Supabase account (vector database) - JIRA Cloud instance - OpenAI API key

Technical Prerequisites: - Basic n8n workflow knowledge - Slack app creation experience - Understanding of vector databases

Setup Steps

1. Slack App Configuration - Create new Slack app with Bot Token Scopes: appmentions:read, channels:history, channels:read, groups:history, groups:read, im:history, im:read, mpim:history, mpim:read, users:read - Configure Event Subscriptions: appmention, message.channels, message.groups, reactionadded - Set Request URL to your n8n Slack Trigger webhook