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PRODID:-//pretalx//pretalx.com//workshoptage-2025//speaker//BADDMT
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TZID:Europe/Zurich
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DTSTART:20240910T000000
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BEGIN:STANDARD
DTSTART:20241027T030000
RDATE:20251026T030000
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BEGIN:DAYLIGHT
DTSTART:20250330T030000
RDATE:20260329T030000
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SUMMARY:LLM-RAG from Scratch: Build Your Own Open-Source AI Chatbot - Orne
 lla Vaccarelli
DTSTART;TZID=Europe/Zurich:20250910T090000
DTEND;TZID=Europe/Zurich:20250910T170000
DTSTAMP:20260818T170911Z
UID:pretalx-workshoptage-2025-KHQLDT@pretalx.com
DESCRIPTION:This hands-on workshop offers a deep dive into the development
  of intelligent AI systems using the Retrieval-Augmented Generation (RAG) 
 framework and open-source tools. Participants will learn how to build a fu
 lly functional AI chatbot that can search and understand large collections
  of documents to generate accurate\, context-aware responses.\n\nThroughou
 t the session\, you’ll be guided through the complete RAG pipeline: from
  data ingestion and embedding generation to vector database integration an
 d connection to an open-source LLM. Using frameworks such as LangChain\, H
 ugging Face Transformers\, and Ollama\, you will set up each component you
 rself. The workshop also covers practical aspects like data handling and s
 trategies to ensure data privacy and security during deployment.\n\nWhethe
 r you're a developer looking to integrate LLMs into real-world application
 s or simply curious about how open-source AI chatbots work under the hood\
 , this session will give you the skills and insights to build and deploy y
 our own system.\n\nBy the end of the workshop\, you'll walk away with a wo
 rking open-source chatbot and a clear understanding of how to customize an
 d expand it for your own use cases.
LOCATION:Room  F91
URL:https://pretalx.com/workshoptage-2025/talk/KHQLDT/
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