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UID:pretalx-pyconde-pydata-berlin-2023-U7WAQW@pretalx.com
DTSTART;TZID=CET:20230418T110500
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DESCRIPTION:Innovations such as sentence-transformers\, neural search and v
 ector databases fueled a very fast development of question-answering syste
 ms recently. At scieneers\, we wanted to test those components to satisfy 
 our own information needs using a slack-bot that will answer our questions
  by reading through our internal documents and slack-conversations. We the
 refore leveraged the HayStack QA-Framework in combination with a Weaviate 
 vector database and many fine-tuned NLP-models.\nThis talk will give you i
 nsights in both\, the technical challenges we faced and the organizational
  learnings we took.
DTSTAMP:20260721T074156Z
LOCATION:B09
SUMMARY:“Who is an NLP expert?” - Lessons Learned from building an in-h
 ouse QA-system - Nico Kreiling\, Alina Bickel
URL:https://pretalx.com/pyconde-pydata-berlin-2023/talk/U7WAQW/
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