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 lk//QHYW78
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TZID:Europe/Luxembourg
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DTSTART:20251007T000000
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DTSTART:20251026T030000
RDATE:20261025T030000
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DTSTART:20260329T030000
RDATE:20270328T030000
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SUMMARY:ANN\, RAG\, MCP\, or Agentic AI – It’s All About Data\, and Mo
 stly Open Source - Marc Linster
DTSTART;TZID=Europe/Luxembourg:20261007T140000
DTEND;TZID=Europe/Luxembourg:20261007T143000
DTSTAMP:20260916T160852Z
UID:pretalx-open-source-conference-luxembourg-2026-QHYW78@pretalx.com
DESCRIPTION:As AI application architectures rapidly evolve—from basic RA
 G pipelines to autonomous Agentic AI and standard context protocols like M
 CP—the true center of gravity remains constant: data. While proprietary 
 foundation models dominate headlines\, open source software forms the core
  infrastructure powering data integration\, vector retrieval\, and agent o
 rchestration.\nThis talk explores the vital role of open source across the
  modern AI stack. We will trace the architectural evolution connecting ret
 rieval mechanisms to model context protocols and multi-agent workflows\, u
 npack the critical distinctions between hosted LLMs\, open-weights\, and t
 rue open-source models\, and demonstrate how open-source data tooling ensu
 res innovation\, governance\, and sovereignty in enterprise AI deployments
 .\nKey Takeaways for Attendees:\nA pragmatic architecture breakdown of mod
 ern AI data stacks (RAG\, MCP\, and Agentic frameworks).\nGuidelines on ev
 aluating Open Source vs. Open Weight vs. Hosted API models for privacy and
  compliance.\nArchitectural patterns using open-source tools to maintain i
 nnovation and sovereignty.
LOCATION:Artificial Intelligence
URL:https://pretalx.com/open-source-conference-luxembourg-2026/talk/QHYW78
 /
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