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Neopolis Akademy · Free AI training

Zendesk RAG agent with knowledge base and memory

Advanced practical exercise to develop a Zendesk agent using RAG (retrieval-augmented generation) with a document base and memory. Integrates n8n, Supabase, PostgreSQL and OpenAI for retrieval, context and persistence.

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Agent Zendesk RAG avec base documentaire et mémoire

Training programme overview

Advanced practical exercise to develop a Zendesk agent using RAG (retrieval-augmented generation) with a document base and memory. Integrates n8n, Supabase, PostgreSQL and OpenAI for retrieval, context and persistence.

Deploy a Zendesk agent using RAG: document indexing, contextual queries and augmented generation.

Technical architecture using n8n for orchestration, Supabase/PostgreSQL for storage and OpenAI for generation.

Emphasis on controls, fictional data and human validation to ensure safe, quality responses.

1courses
1lessons
5activities
6exercises
0videos

Tutorial / practical work · Advanced

Courses included in this training programme

Zendesk RAG agent with knowledge base and memory

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.

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1 lessons · 5 activities · 6 exercises · 0 videos

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