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New design (#79)
* remover open source title, added docker icon on hero banner * buttons, fixes for mobile view * code widget fix * removed copying of text * changed size and positioning of the docker icon, added a link to dockerhub, some styles for mobiles * hid an installation section and an imapge on hero-banner for small mobile devices * exchanged images * fixed svg images * tutorial button => demos button, svg optimisation * removed background * new colors, separated file for the header * cleaned some redunant styles for the header * more changes according to the new design * fixed buttons animation, fixed the header on all pages for desktop * mobile view for the header and the top banner * changed the features section according to new design * moved styles for the features section to the separated file, some fixes for mobile view * reorganised lines in features-section.scss * changes slides on the main page - desctop view * added a file * autoscroll, some fixes * added an autoplay and a pause on mouseenter to the carousel on the home page * more styles * styles for articles section and subscribtion section * styles for footer * styles * footer background * fixes * more fixes * fixes for mobile devices - small sizes * fixes for mobile devices - medium sizes * update images * some fixes for mobiles, changed stack section * changed the second header (aka section title) according to new design * WIP: added some webpack configuration for updating a way of vendors scripts usage, added new carousel * replaced old slider to splidejs * fix for the slider * articles list page * article - single page * refactored main.scss, removed unused code from it and moved sections styles to separated files * renamed and added some files, added fixes to breadcrumbs * small changes in styles and layouts * vertical sizes * changes of styles and structure in articles and blog related files * added mobile styles for articles and related pages, added sass function for converting px to rem * temp picture * changes in page title * changed colors on old pages to the new design schema * fixes * deleted a file qdrant.css, moved styles to main.scss * installed qdrant-page-search, for now without an actual api url * added an actual api url * WIP replacing owl carousel with splide on the surveys page * updated page search, changed a way it's used * fixes for footer * changed common auto-container width, article font-size, made some fixes * docs auto-sync * narrow articles * re-imported blog styles, because they are used in other places * updated page-search * optimized css loading * replaced some images with webp format * undo main img, changes in image usage * fixes * fixed slider cursor, logos in the stack section, cards on solutions page, prices page * changed font-size of a form title on the subscription page * optimization * wip: added bash script for article preview images processing * bash script for article preview images processing * updated images for articles * two article card in the row, without buttons (#85) * fixes for old pages * fixes for benchmarks pages * added some info to the readme * upd case studies * changed form placeholder color and margin between buttons in the header * short solution texts + link to benchmarks on main * pricing page fixes * short text in slider * article cards borders, slider height, contact us * blockquote * move external articles to the landing * more narrow buttons in the header, no buttons on the solutions page * demo page fixes, removed target blank from the benchmarks link on the main page * slower speed of the carousel on the main page * content changes + seach upd * changed title, readme * added translate3d(0, 0, 0) to buttons for safari animations * fixing buttons in safari (maybe) * fixing buttons in safari (maybe) * fixing buttons in safari * fixes for mobiles * fixes * docs auto-sync * neural -> vector Co-authored-by: Andrey Vasnetsov <andrey@vasnetsov.com> Co-authored-by: qdrant <qdrant@users.noreply.github.com>
This commit is contained in:
trean
co-authored by
Andrey Vasnetsov
qdrant
Andrey Vasnetsov
qdrant
parent
5913a8c448
commit
6935178dc4
@@ -12,15 +12,9 @@ But the answer was never simple, as the world of vector databases lacked a unifi
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So we created one, making some bold assumptions about how it should be done.
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Here we describe why we think that’s the best way.
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In real-world scenarios, having access to unlimited power and computational resources is never the case. Projects have budgets that have to be tracked, and constraints affect the possibilities, also when it comes to hardware parameters.
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Unless you work for a FAANG company, chances are you would like to get out most from your VMs or bare-metal servers.
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That’s why we decided to benchmark the available vector databases using the same hardware configuration, so you can know how much you can expect from each on a specific setup.
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Does it guarantee the best performance? Probably not, but that makes the whole process affordable and reproducible, so you can easily repeat it on your machine.
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If you do so, your numbers won’t match the ones we’ve got.
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But the whole thing is not about measuring the state-of-the-art performance of a specific neural network on a selected task.
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**The relative numbers, compared to the other engines are far more important, as they emphasize the differences in reality.**
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That is why we perform our benchmarks on exactly the same hardware, which you can rent from any cloud provider.
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It does not guarantee the best performance, making the whole process affordable and reproducible, so you can easily repeat it yourself.
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So in our benchmarks, we **focus on the relative numbers**, so it is possible to **compare** the performance of different engines given equal resources.
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The list will be updated:
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@@ -6,6 +6,7 @@ description: We benchmarked several engines using various configurations of them
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data: /benchmarks/result-2022-08-10.json
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preview_image: /benchmarks/benchmark-1.png
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date: 2022-08-23
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weight: 2
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---
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@@ -22,6 +23,7 @@ We tried our best, kept scrolling the docs up and down, and experimented with di
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Our benchmark, inspired by [github.com/erikbern/ann-benchmarks/](https://github.com/erikbern/ann-benchmarks/), used the following datasets to test the performance of the engines:
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<div class="table-responsive">
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| Datasets | Number of vectors | Vector dimensionality | Distance function |
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|-----------------------|-------------------|-----------------------|-------------------|
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@@ -29,6 +31,8 @@ Our benchmark, inspired by [github.com/erikbern/ann-benchmarks/](https://github.
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| gist-960-euclidean | 1,000,000 | 960 | euclidean |
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| glove-100-angular | 1,183,514 | 100 | cosine |
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</div>
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### Hardware
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In our experiments, we are not focusing on the absolute values of the metrics but rather on a relative comparison of different engines.
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