Zendesk RAG agent with knowledge base and memory

Course overview

Build a Zendesk RAG agent that connects a document store and conversational memory to enrich support answers. The practical focuses on environment setup, stepwise construction, and security checkpoints to ensure reliable integrations.

This practical guides you to integrate a RAG agent with Zendesk by connecting a document store (vector DB) and a conversational memory to improve answer relevance.

Start with environment setup (n8n, Supabase/PostgreSQL, AI APIs), then implement ingestion, embedding/indexing, retrieval and response orchestration within Zendesk flows.

The build is incremental: validate data access, retrieval quality and memory writes at each step to ensure predictable behaviour.

A security checkpoint covers access controls, API key handling and configuration practices to reduce data exposure in support workflows.