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SUMMARY:RAG architectures: Naïve\, Advanced and Modular
DTSTART;VALUE=DATE-TIME:20260707T081500Z
DTEND;VALUE=DATE-TIME:20260707T084000Z
DTSTAMP;VALUE=DATE-TIME:20260703T161444Z
UID:indico-contribution-1140@events.grnet.gr
DESCRIPTION:Speakers: George  Drosatos (ATHENA RC)\nThis theory session pr
 esents the main architectural paradigms used in Retrieval-Augmented Genera
 tion systems. It starts with Naïve RAG as the baseline pipeline: document
  ingestion\, chunking\, embedding generation\, vector indexing\, retrieval
  and grounded answer generation. It then explains how Advanced RAG improve
 s this baseline through better preprocessing\, metadata enrichment\, query
  rewriting\, hybrid retrieval\, reranking\, context compression and eviden
 ce filtering. The session also introduces Modular RAG\, where routing\, re
 writing\, retrieval\, fusion\, generation and verification can be organise
 d as configurable components rather than a fixed linear chain. Participant
 s will learn how each architecture changes the quality\, reliability\, lat
 ency and maintainability of a RAG application. The session prepares partic
 ipants to recognise which design pattern is appropriate for a simple educa
 tional prototype\, a more robust domain assistant or a production system t
 hat must adapt to different question types and knowledge sources. It also 
 clarifies how the same concepts appear later in the hands-on notebook exer
 cises.\n\nhttps://events.grnet.gr/event/213/contributions/1140/
LOCATION:
URL:https://events.grnet.gr/event/213/contributions/1140/
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