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Andreas Kollegger

Andreas is a technological humanist. Starting at NASA, Andreas designed systems from scratch to support science missions. Then in Zambia, he built medical informatics systems to apply technology for social good. Now with Neo4j, he is democratizing graph databases to validate and extend our intuitions about how the world works. Everything is connected.


Fullstack AI Engineering for GenAI Applications


You start with prompt engineering, then bring in software engineering, data engineering, devops and enough data science to suddenly find you’ve become an AI Engineer. Together we’ll walk through the stack of services and application frameworks of GenAI, following a strategy for incremental solution building.

You’ll learn about:

  • prompt engineering

  • retrieval augmented generation (RAG)

  • data modeling for RAG

  • multi-stage RAG workflows

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