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mish15

HN member
Joined
Tue, Feb 22, 2011, 9:54 AM UTC
HN karma
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Public activity
21 items

About mish15

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Recent public activity

  1. comment
    Comment #37398331

    Yes it's all wrong, because: a) recall is designed to measure binary relevance, but vector scores are not good relevance judgments and they aren't binary. b) most models optimise p…

  2. comment
    Comment #37398193

    Yeah basically all the vector "database" solutions in market have chosen data-dependent indexes, so you need the data upfront. Imagine if regular databases needed all data upfront …

  3. comment
    Comment #32861655

    On hybrid indexes with full text and vector support?

  4. comment
    Comment #32861652

    Last I heard Pinecone doesn’t even support full text search, let alone hybrid indexes, what do you think you are disproving exactly? Real-time upserts on hybrid and vector indexes …

  5. comment
    Comment #28697233

    You pay a decent cost to do the hash, it’s a compression algorithm of sorts. But the data is a fraction of the size and comparison is way faster. If you do many of these or compare…

  6. comment
    Comment #28697027

    Yes and yes. Network based hashing is great to maximise information quality of the hash (compared to other LSH methods). It works to compress existing vectors super efficiently. Ve…

  7. comment
    Comment #28696672

    We will add neural hash based ANN to that repo when we get time. I expect HNSW to get pushed out in time for many reasons.

  8. comment
    Comment #28678901

    I was part of the above article. Happy to answer questions. In terms of accuracy, it totally depends on the resolution needed. We can get >99% accuracy of L2 waaaaay faster with 1/…

  9. comment
    Comment #28678522

    Yes. Storage also. You can get >99% ordering quality of exhaustive cosine with a tiny fraction of memory usage

  10. comment
    Comment #28678450

    Interesting. Hadn’t seen it actually. BOW is problematic as a starting point, but this is neat and a long time ago too.

  11. comment
    Comment #28113169

    This is easily the most fun thing I’ve been involved with for years. Can’t wait to see it ship.

  12. comment
    Comment #25184405

    You just mmap memory as a slice. You can grow and shrink it, flush to disk if backed by a file, etc. In code it’s just a slice. Tough part is you need to allocate, control bounds, …

  13. comment
    Comment #25182109

    You can do this in pure Go though, you just need to manage the allocator yourself. That is a significant technical undertaking, but once done the advantages are huge. No GC overhea…

  14. comment
    Comment #22086826

    What search tech are you building it on out of interest?

  15. comment
    Comment #22086805

    Totally agree. We looked at providing tech in this space and it means you have to plug into literally every system. It’s an endless problem. Slack search is awful and they have a f…

  16. comment
    Comment #20482364

    We have an early access product for personalized ecommerce search @Sajari if you are interested. One early access company is on track to generate $30 million in additional revenue …

  17. story
  18. comment
    Comment #13710230

    Unlikely, the GSA product is also discontinued. This is a push to a google cloud alternative i would guess.

  19. comment
    Comment #13710216

    Their search appliance (GSA) is being replaced with a cloud search product. I would guess once that is released it will make the GSS product a bit redundant, so it makes sense to d…

  20. story
  21. comment
    Comment #2749574

    I'm amazed so many people and companies are focussed on trying to manage/limit peoples exposure to tracking technologies. Everyone is looking at this problem backwards. I say this …