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SUMMARY:How custom chatbot works and how to build a RAG (Retrieval-Augment
 ed-Generation) system from scratch
DTSTART;VALUE=DATE-TIME:20251130T070000Z
DTEND;VALUE=DATE-TIME:20251130T083000Z
DTSTAMP;VALUE=DATE-TIME:20260520T015449Z
UID:indico-contribution-3033@events.chpc.ac.za
DESCRIPTION:Speakers: Walter Riviera (walterbot.ai)\nThis hands-on worksho
 p introduces students to building a basic Retrieval-Augmented Generation (
 RAG) system. Participants will learn how to index a document corpus using 
 embeddings\, implement a vector search retriever\, and connect it to a lan
 guage model for context-aware responses. The session covers key components
  like vector store\, prompt design\, and system evaluation. By the end\, s
 tudents will have built a simple\, working RAG pipeline. Basic Python know
 ledge is recommended.\n \nRequirements:Each attendee should bring their la
 ptop along and have  Jupyter notebook with python 3.10 pre-installed.\n\nh
 ttps://events.chpc.ac.za/event/155/contributions/3033/
LOCATION:Century City Conference Centre 1/1-2 - Room 2
URL:https://events.chpc.ac.za/event/155/contributions/3033/
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