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UID:pretalx-bbuzz26-PLNTP9@program.berlinbuzzwords.de
DTSTART;TZID=CET:20260608T140000
DTEND;TZID=CET:20260608T144000
DESCRIPTION:Relevance feedback loops used to take months. AI agents can now
  compress the process to seconds. This talk explores agentic retrieval: sy
 stems where agents adjust scoring models\, schema\, and indexing in real t
 ime. Learn how to build retrieval infrastructure with verifiable APIs that
  enable agents to optimize their own search context.
DTSTAMP:20260525T120211Z
LOCATION:Kesselhaus
SUMMARY:Agentic Retrieval: Building Self-Optimizing Search Systems - Skip E
 verling\, Jo Kristian Bergum
URL:https://program.berlinbuzzwords.de/bbuzz26/talk/PLNTP9/
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UID:pretalx-bbuzz26-SSYYQ8@program.berlinbuzzwords.de
DTSTART;TZID=CET:20260608T172000
DTEND;TZID=CET:20260608T180500
DESCRIPTION:Why do we even need traditional search when AI can do everythin
 g? Or is it foolish to ignore simple\, proven techniques for delivering gr
 eat results? What's the best way to combine old and new? Join our panel of
  experts for a fun and provocative debate!
DTSTAMP:20260525T120211Z
LOCATION:Kesselhaus
SUMMARY:AI is here – time to throw away our search engines? - Charlie Hul
 l\, Atita Arora\, Jo Kristian Bergum\, Dmitry Kan\, Evgeniya Sukhodolskaya
URL:https://program.berlinbuzzwords.de/bbuzz26/talk/SSYYQ8/
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