BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//program.berlinbuzzwords.de//bbuzz25//talk//WLNLKY
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-bbuzz25-WLNLKY@program.berlinbuzzwords.de
DTSTART;TZID=CET:20250616T145000
DTEND;TZID=CET:20250616T151000
DESCRIPTION:While powerful\, dense vector search is not a plug-and-play fea
 ture that will scale straight out-of-the-box\, particularly when it comes 
 to extracting the maximum performance from limited compute resources. Come
  learn how we tuned dense vector indexes for our 100M+ document dataset\, 
 and drastically sped up our queries.
DTSTAMP:20260608T020318Z
LOCATION:Maschinenhaus
SUMMARY:Performance Tuning Apache Solr for Dense Vectors - Kevin Liang
URL:https://program.berlinbuzzwords.de/bbuzz25/talk/WLNLKY/
END:VEVENT
END:VCALENDAR