[HN Gopher] Spann: Highly-Efficient Billion-Scale Approximate Ne...
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       Spann: Highly-Efficient Billion-Scale Approximate Nearest Neighbor
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       Author : ksec
       Score  : 25 points
       Date   : 2024-11-02 20:02 UTC (2 hours ago)
        
 (HTM) web link (arxiv.org)
 (TXT) w3m dump (arxiv.org)
        
       | aaronblohowiak wrote:
       | Kinda related, hopefully someone here in comments can help:
       | what's your favorite precise nn search that works on arm Macs for
       | in memory dataset; 100k times / 300 float32 dims per item ?
       | Ideally supporting cosine similarity
       | 
       | Faiss seems big to get going, tried n2 but doesn't seem to want
       | to install via pip.. if anyone has a go-to I'd be grateful.
       | Thanks.
        
         | teaearlgraycold wrote:
         | Why in memory? What are your latency requirements? I found
         | pgvector to be surprisingly performant.
        
       | singhrac wrote:
       | Maybe worth a (2021) tag.
        
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       (page generated 2024-11-02 23:00 UTC)