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jkb79
searching PlanetScale…
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5 ms
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31.
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by
jkb79
5y ago
Yes, Vespa.ai can index billion scale vector datasets https://blog.vespa.ai/billion-scale-knn/ Vespa also allows expressing hybrid sparse and dense retrieval (WAND for sparse, ANN via HNSW for dense). It's also ea
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by
jkb79
5y ago
It's about choosing the right Transformer model, there are several models which are smaller, with fewer parameters than bert-base which gives the exact same accuracy as bert-base, which you can use on a modern CPU single digit ms, even
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by
jkb79
5y ago
>then possibly combine search results with keyword based search (say BM25) to >improve accuracy etc. I am still waiting to see an end-to-end API doing all this > Vespa.ai supports combining dense vector search with keyword search a
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Billion-scale vector search using binary-coded representations
(blog.vespa.ai)
10 points
by
jkb79
5y ago
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