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SUMMARY:Generation in RAG: context construction\, grounding\, citations an
 d answer constraints
DTSTART;VALUE=DATE-TIME:20260707T105500Z
DTEND;VALUE=DATE-TIME:20260707T112000Z
DTSTAMP;VALUE=DATE-TIME:20260703T161438Z
UID:indico-contribution-1154@events.grnet.gr
DESCRIPTION:Speakers: George  Drosatos (ATHENA RC)\nThis methodology sessi
 on explains how retrieved evidence is transformed into a grounded answer t
 hrough prompt construction and generation. Participants will learn the mai
 n components of a grounded RAG prompt: the user query\, retrieved evidence
 \, system instructions and required answer format. The session discusses h
 ow prompt instructions can constrain the model to answer only from availab
 le sources\, cite supporting evidence\, avoid unsupported claims and state
  when the retrieved context is insufficient. It also covers context constr
 uction decisions\, including how much evidence to include\, how to order p
 assages and how to separate facts from caveats. Special attention is given
  to source attribution and citation granularity\, particularly in public-s
 ervice or administrative domains where users need traceability. By the end
 \, participants will understand that generation quality depends not only o
 n the LLM\, but also on retrieval quality\, prompt design and evidence org
 anisation. These principles are then implemented in the following hands-on
  end-to-end RAG tutorial.\n\nhttps://events.grnet.gr/event/213/contributio
 ns/1154/
LOCATION:
URL:https://events.grnet.gr/event/213/contributions/1154/
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