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SUMMARY:Serverless billion-scale vector search for AI applications - Chang
  She
DTSTART;TZID=Europe/Vilnius:20230518T140000
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DTSTAMP:20260814T191212Z
UID:pretalx-pycon-lt-2023-KCRSMY@pretalx.com
DESCRIPTION:From recommendation systems to LLM-based applications\, vector
  search is a critical component of the modern AI workflow. Existing vector
  solutions are complicated to use\, hard to maintain\, and cost too much. 
 LanceDB is a free open-source vector store that can perform low latency ve
 ctor search on billion-scale vector datasets on a single node. LanceDB is 
 powered by Lance format\, a modern columnar data format for machine learni
 ng and data science. Compatible with pandas/polars/duckdb\, Lance format s
 upports vector index\, predicate pushdown\, and random access performance 
 2000x faster than parquet.
LOCATION:Saphire B - PyData
URL:https://pretalx.com/pycon-lt-2023/talk/KCRSMY/
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