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UID:pretalx-pycon-lithuania-2026-ZCV37U@pretalx.com
DTSTART;TZID=EET:20260410T120000
DTEND;TZID=EET:20260410T122500
DESCRIPTION:Retrieval-Augmented Generation (RAG) often produces incorrect r
 esults when relying solely on vector-based similarity. While vector search
  is strong\, it fails on exact keywords\, acronyms\, and domain-specific t
 erms. This talk shows how to build high-accuracy RAG pipelines with Hybrid
  Search and Re-ranking using LangChain\, combining vector and full-text re
 trieval and applying cross-encoder scoring to deliver more relevant contex
 t and reduce hallucinations.
DTSTAMP:20260617T083037Z
LOCATION:Deimantas/Diamond (3rd building)
SUMMARY:Beyond Basic RAG: Boosting Accuracy with Hybrid Search and Fusion A
 lgorithms. - Piti Champeethong
URL:https://pretalx.com/pycon-lithuania-2026/talk/ZCV37U/
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