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dmitrykan

HN member
Joined
Sun, May 05, 2013, 8:51 AM UTC
HN karma
16
Public activity
44 items

About dmitrykan

I've been independently (that is -- in my free time) researching vector search databases and neural search frameworks. You can find my findings in the Medium blog. I also consult on these topics, if you need a hand or support in designing your vector search powered engine.

Vector search blog: https://dmitry-kan.medium.com/

Vector Podcast: https://www.youtube.com/c/VectorPodcast

GitHub: https://github.com/DmitryKey/bert-solr-search

Twitter: https://twitter.com/DmitryKan

Recent public activity

  1. comment
    Comment #46267137

    On a Research Assistant: https://muves.io/ It helps to comprehend research papers (and not only papers - any document on any language) faster. The tool is free to use, because we h…

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    Comment #42981110

    Leo Boytsov, my guest on the Vector Podcast, made an honest and an eye-opening claim about vector search being intellectually rewarding, but professionally undervalued. What picked…

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    Comment #42731127

    My take on whether we've lost the category of vector databases.

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    Comment #41200973

    I'm working on the tool, that includes AI. My original target is to test it on my https://www.youtube.com/c/VectorPodcast by offering something that Lex Fridman does for his episod…

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    Comment #36596696

    https://dmitry-kan.medium.com/ I write about vector search, ANN algorithms, neural search frameworks, search engines and algorithms in general and publish episodes of the Vector Po…

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    Comment #36485877

    Nice post, thanks for sharing! Learnt about new dbs / solutions for vector search from it. Vicki mentions this survey I wrote some time ago: https://towardsdatascience.com/milvus-p…

  9. comment
    Comment #34115396

    thank you, Doug! It is mutual. Had a fantastic discussion with you on the podcast: https://www.youtube.com/watch?v=Kpua1Euc-B8

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    Comment #31004523

    It was great to discuss with Jo Kristian on these topics and more: - History of Vespa - Tensor data structure and its use cases - Multi-stage ranking pipeline - Game-changing vecto…

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    Comment #30929074

    Thanks for the article, I've learnt new search engines despite spending a couple of years recently in web scale search. I think you may consider https://usearch.com/ as another dim…

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    Comment #30782896

    Great project! Elasticsearch / OpenSearch / Solr have their own learning to rank plugins. Have you considered integrating Metarank with such systems? Or is your vision to provide a…

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    Comment #30700759

    This is fantastic work, Max! I like where you're going with this unit economy. It is increasingly more and more common that companies need ways of productizing their deep learning …

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    Comment #29648685

    5th episode of Vector Podcast with Tom Lackner, VP Engineering at classic.com explaning the choise of Qdrant vector DB for his projects.

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    Comment #29382014

    To learn about vector search and get practical with it, you can check out my blog as well: https://dmitry-kan.medium.com/list/vector-search-e9b564d1427... I'm also hosting a podcas…

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    Comment #29381052

    11M+ Wikipedia articles indexed for similarity search.

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    Comment #29204389

    From code to podcast to billion-scale ANN challenge and statistics

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    Comment #28817270

    Thanks! One practical target I imagine having is: 1. write the program in Python. 2. translate it into Ć ("interlingua") 3. compile Ć into Go -- for instance there is a belief arou…

  25. comment
    Comment #28808841

    Thanks for sharing! The practical value of such languages could be to build an interlingua and support Python->Ć->Go. The question is: if Ć->Python works seamlessly, how easy it is…