BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//haystack-us-2026//speaker//AUQCQX
BEGIN:VTIMEZONE
TZID:EST
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10;UNTIL=20061029T070000Z
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:STANDARD
DTSTART:20071104T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000402T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4;UNTIL=20060402T080000Z
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
BEGIN:DAYLIGHT
DTSTART:20070311T030000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-haystack-us-2026-K7N7XT@pretalx.com
DTSTART;TZID=EST:20260507T091500
DTEND;TZID=EST:20260507T100000
DESCRIPTION:Search relevance tuning is notoriously difficult\, often requir
 ing a deep understanding of Lucene scoring\, complex query DSLs\, and iter
 ative manual testing. \nThis session introduces Agentic Relevance Tuning
 —a framework that leverages LLM-based agents to automate the full search
  lifecycle making search tuning faster\, more accurate\, and accessible.
DTSTAMP:20260502T102658Z
LOCATION:Main Stage
SUMMARY:Agentic Tuning: Search Relevance on Autopilot - Daniel Wrigley
URL:https://pretalx.com/haystack-us-2026/talk/K7N7XT/
END:VEVENT
END:VCALENDAR