Dates:
Di., 8. Sept. 2026, 9:00–17:00
Ever wished your AI could do more than just answer a question? What if you could teach it how to think, decide, and verify? This workshop introduces one of the newest and most powerful AI architectures: graph-based reasoning systems, where AI agents follow structured decision graphs to retrieve information, reason step by step, and produce reliable, evidence-based answers. We begin from first principles, explaining how large language models work and why they cannot be trusted on their own. You will then build a complete RAG pipeline that connects an open-source LLM to real documents, enabling it to retrieve evidence and generate fact-grounded answers instead of confident guesses. From there, we move beyond linear pipelines. You will transform your RAG system into a graph-based AI agent: an autonomous assistant whose reasoning is explicit, structured, and controllable. Using a reasoning graph, the AI learns when to retrieve information, how to combine multiple sources, when to verify results, and when to stop. Instead of one-shot responses, your system follows a clear decision flow that mirrors human problem-solving. By the end of the workshop, you will have built a complete, open-source AI assistant that can read documents, retrieve knowledge, reason through a graph, and answer with evidence. Not a simple chatbot. A truly intelligent AI agent that follows a path of thought.
Cost: 120 CHF
Categories: Eventfrog rubric 919
Image credit: info@ch-open.ch
Source: Event information supplied by Eventfrog.
