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UID:pretalx-pycon-lt-2023-KCRSMY@pretalx.com
DTSTART;TZID=EET:20230518T140000
DTEND;TZID=EET:20230518T142500
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. L
 anceDB is a free open-source vector store that can perform low latency vec
 tor search on billion-scale vector datasets on a single node. LanceDB is p
 owered by Lance format\, a modern columnar data format for machine learnin
 g and data science. Compatible with pandas/polars/duckdb\, Lance format su
 pports vector index\, predicate pushdown\, and random access performance 2
 000x faster than parquet.
DTSTAMP:20260710T113625Z
LOCATION:Saphire B - PyData
SUMMARY:Serverless billion-scale vector search for AI applications - Chang 
 She
URL:https://pretalx.com/pycon-lt-2023/talk/KCRSMY/
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