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UID:pretalx-ai-heroes-2024-BQZWYJ@papers.synesthesia.it
DTSTART;TZID=CET:20241211T121000
DTEND;TZID=CET:20241211T125000
DESCRIPTION:Have you ever wondered what it's like to have a virtual assista
 nt that can answer questions about your documentation? In this talk\, we'l
 l share how we built an intelligent chatbot powered by OpenAI\, Qdrant and
  Haystack to innovate user support and transform static documents into int
 eractive resources.\n \nIn today's fast-paced digital environment\, instan
 t access to relevant information is no longer a luxury but a necessity. Im
 agine interacting with a document as if it were a knowledgeable expert\, p
 roviding precise answers at your fingertips. We harnessed OpenAI Assistant
 \, Qdrant\, and Haystack to build a chatbot that not only responds to docu
 ment-based queries but also pinpoints the exact page and context of the in
 formation\, creating a seamless and engaging user experience.\n \nKey Take
 aways:\n- Real-world use case: From scratch\, we transformed a client's do
 cumentation into a live\, interactive resource.\n- Retrieval in Action: Le
 arn how we integrated OpenAI's retrieval mode to quickly extract relevant 
 information.\n- Advanced data management: Discover how Qdrant and Haystack
  handle embedding persistence and similarity calculations for fast answers
 .\n \nThis will be a hands-on session where we'll dive into the code and s
 how you how to replicate our solution.\n \nDuration: 45-60 minutes.\n \nTh
 is intervention has not previously been presented at other conferences.
DTSTAMP:20241209T105219Z
LOCATION:Sala 150
SUMMARY:Unlocking Documentation with AI-Powered Chatbots: A Real-World Case
  Study - Christian De Simone\, Luca Giudici
URL:https://papers.synesthesia.it/ai-heroes-2024/talk/BQZWYJ/
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