Building Smart Agricultural Assistants with RAG and Large Language Models!

You’ll learn how to:

• Set up a Retrieval-Augmented Generation (RAG) pipeline
• Work with real agricultural data (reports, sensors, policies)
• Use LLMs to analyze queries and generate insights
• Evaluate AI responses for accuracy and relevance
• Create simple decision-support tools for real agri use cases

Offered by the Informatics Laboratory, Agricultural University of Athens with Assoc. Prof. Konstantinos Demestichas

• Date: 6 May 2026
• Time: 12:00 PM – 1:30 PM (GTB)
• Online (link provided upon registration)

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University *La Rochelle Université, LRUnivAgricultural University of Athens, AUAUniversidad Católica de Valencia, UCVKlaipeda University, KUUniversity of Zadar, UNIZDTechnical University of Civil Engineering, UTCB,South East Technological University, SETURostock University, UROSFrederick University, FredUOther

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.