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Created Dev-portal pages (#1219)
* Created Dev-portal pages * changed structure of documents for dev-portal section, renamed dev-portal to docs, related template changes * keeping learn section for future usage * update dev-portal and documents * added feedback and breadcrumbs components * used the docs-side menu partial on documentation pages, and added active state to the docs-header links * search console on docs * small fixes * assigned partitions, css fix * fix links on the core page * update links for cloud * update links for build * Reference -> API Reference * [WIP] Dev portal light theme (#1250) * light theme - docs side menu * background fix * wip: updating layout * layout update * light theme * card titles with a link * upd page-search package * simplified header * fixes * TOC scroll spy (#1259) * scroll spy on table of contents * packages versions fix * custom scroll spy for toc * make spy work again --------- Co-authored-by: generall <andrey@vasnetsov.com> * limit toc depth to 3 * thin scrollbar * No dev template (#1266) * divided the docs template into smaller partials, increased reusability * removed docs section, moved all to the documentation * review fixes * review fixes --------- Co-authored-by: generall <andrey@vasnetsov.com> * side panel more compact * toc margin bottom fix * Refactoring and renaming (#1277) * renamed and moved partials, fixed link * refactoring: docs-card * fix * fix urls * disable scrollbar on table of content * added scrollbar colors for light theme (#1280) * fix language * Dev portal fixes (#1285) * cards fixes * moved files, fixed paddings * fix for my fix * external header links * fix --------- Co-authored-by: trean <trean.mi@gmail.com> Co-authored-by: Andrey Vasnetsov <andrey@vasnetsov.com> Co-authored-by: davidmyriel <davidmyriel@gmail.com>
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co-authored by
generall
trean
davidmyriel
parent
9704ddb36b
commit
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@@ -2,7 +2,74 @@
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title: Home
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weight: 2
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hideTOC: true
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breadcrumb: false
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content:
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- partial: "documentation/banners/banner-a"
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title: Qdrant Documentation
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description: Qdrant is an AI-native vector database and a semantic search engine. You can use it to extract meaningful information from unstructured data.
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linkDescription: <a href="https://github.com/qdrant/qdrant_demo/" target="_blank">Clone this repo now</a> and build a search engine in five minutes.
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cloudButton:
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text: Cloud Quickstart
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url: /documentation/quickstart-cloud/
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localButton:
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text: Local Quickstart
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url: /documentation/quickstart/
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contained: true
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- partial: documentation/banners/banner-d
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developingTitle: Ready to start developing?
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developingDescription: Qdrant is open-source and can be self-hosted. However, the quickest way to get started is with our <a href="https://qdrant.to/cloud" target="_blank">free tier</a> on Qdrant Cloud. It scales easily and provides a UI where you can interact with data.
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developingBlock:
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title: Create your first Qdrant Cloud cluster today
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button:
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text: Get Started
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url: https://qdrant.to/cloud
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image:
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src: /img/rocket.svg
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alt: Rocket
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- partial: documentation/sections/cards-section
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title: Optimize Qdrant's performance
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description: Boost search speed, reduce latency, and improve the accuracy and memory usage of your Qdrant deployment.
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button:
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text: Learn More
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url: /documentation/guides/optimize/
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cardsPartial: documentation/cards/docs-cards
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cards:
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- id: 1
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tag: Documents
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icon:
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src: /icons/outline/documentation-blue.svg
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alt: Documents
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title: Distributed Deployment
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description: Scale Qdrant beyond a single node and optimize for high availability, fault tolerance, and billion-scale performance.
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link:
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url: /documentation/guides/distributed_deployment/
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text: Read More
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- id: 2
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tag: Documents
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icon:
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src: /icons/outline/documentation-blue.svg
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alt: Documents
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title: Multitenancy
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description: Build vector search apps that serve millions of users. Learn about data isolation, security, and performance tuning.
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link:
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url: /documentation/guides/multiple-partitions/
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text: Read More
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- id: 3
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tag: Blog
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tagColor: violet
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icon:
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src: /icons/outline/blog-purple.svg
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alt: Blog
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title: Vector Quantization
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description: Learn about cutting-edge techniques for vector quantization and how they can be used to improve search performance.
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link:
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url: /articles/what-is-vector-quantization/
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text: Read More
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partition: qdrant
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---
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THIS CONTENT IS GOING TO BE IGNORED FOR NOW
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# Documentation
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Qdrant is an AI-native vector database and a semantic search engine. You can use it to extract meaningful information from unstructured data. Want to see how it works? [Clone this repo now](https://github.com/qdrant/qdrant_demo/) and build a search engine in five minutes.
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