Building your AI Workflow | How to combine LLM and embeddings for GenAI

Apr 15, 2026 | 10:40 AM - 12:20 PM

LuxProvide

Description

In this hands-on training, you will learn the basics of how to build production GenAI systems by combining Large Language Models with retrieval technologies. You'll learn what LLMs are and how they function, then explore the technologies required for robust AI applications: embeddings for semantic representation, distance metrics, and vector databases for efficient search. In the second part of this training, you’ll learn how to design and build a Retrieval-Augmented Generation (RAG) pipeline for more accurate AI responses grounded in your own data. We’ll also explore different chunking strategies that determine RAG system performance. Level: Beginner-friendly, no prior AI or machine learning experience required. Basic knowledge of Python is helpful.

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Supercomputing
EuroCC 2 has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the European Union’s Digital Europe Programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Türkiye, Republic of North Macedonia, Iceland, Montenegro, Serbia.

Luxembourg AI Factory
This project has received funding from the European High Performance Computing Joint Undertaking (JU) under Grant Agreement No. 101234366. The JU receives support from the European Union’s Horizon Europe research and innovation programme and from Luxembourg, Belgium, Croatia, Greece, Hungary, Ireland, Italy, the Netherlands, Poland, Portugal, Slovenia, and Spain.

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