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d="M12 1C5.9225 1 1 5.9225 1 12C1 16.8675 4.14875 20.9787 8.52125 22.4362C9.07125 22.5325 9.2775 22.2025 9.2775 21.9137C9.2775 21.6525 9.26375 20.7862 9.26375 19.865C6.5 20.3737 5.785 19.1912 5.565 18.5725C5.44125 18.2562 4.905 17.28 4.4375 17.0187C4.0525 16.8125 3.5025 16.3037 4.42375 16.29C5.29 16.2762 5.90875 17.0875 6.115 17.4175C7.105 19.0812 8.68625 18.6137 9.31875 18.325C9.415 17.61 9.70375 17.1287 10.02 16.8537C7.5725 16.5787 5.015 15.63 5.015 11.4225C5.015 10.2262 5.44125 9.23625 6.1425 8.46625C6.0325 8.19125 5.6475 7.06375 6.2525 5.55125C6.2525 5.55125 7.17375 5.2625 9.2775 6.67875C10.1575 6.43125 11.0925 6.3075 12.0275 6.3075C12.9625 6.3075 13.8975 6.43125 14.7775 6.67875C16.8813 5.24875 17.8025 5.55125 17.8025 5.55125C18.4075 7.06375 18.0225 8.19125 17.9125 8.46625C18.6138 9.23625 19.04 10.2125 19.04 11.4225C19.04 15.6437 16.4688 16.5787 14.0213 16.8537C14.42 17.1975 14.7638 17.8575 14.7638 18.8887C14.7638 20.36 14.75 21.5425 14.75 21.9137C14.75 22.2025 14.9563 22.5462 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class="HeaderMenu-wrapper d-flex flex-column flex-self-start flex-lg-row flex-auto rounded rounded-lg-0"> <nav class="HeaderMenu-nav" aria-label="Global"> <ul class="d-lg-flex list-style-none"> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Product <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 d-lg-flex flex-wrap dropdown-menu-wide"> <div class="HeaderMenu-column px-lg-4 border-lg-right mb-4 mb-lg-0 pr-lg-7"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"github_copilot","context":"product","tag":"link","label":"github_copilot_link_product_navbar"}" href="https://github.com/features/copilot"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-copilot color-fg-subtle mr-3"> <path d="M23.922 16.992c-.861 1.495-5.859 5.023-11.922 5.023-6.063 0-11.061-3.528-11.922-5.023A.641.641 0 0 1 0 16.736v-2.869a.841.841 0 0 1 .053-.22c.372-.935 1.347-2.292 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version="1.1" width="24" data-view-component="true" class="octicon octicon-shield-check color-fg-subtle mr-3"> <path d="M16.53 9.78a.75.75 0 0 0-1.06-1.06L11 13.19l-1.97-1.97a.75.75 0 0 0-1.06 1.06l2.5 2.5a.75.75 0 0 0 1.06 0l5-5Z"></path><path d="m12.54.637 8.25 2.675A1.75 1.75 0 0 1 22 4.976V10c0 6.19-3.771 10.704-9.401 12.83a1.704 1.704 0 0 1-1.198 0C5.77 20.705 2 16.19 2 10V4.976c0-.758.489-1.43 1.21-1.664L11.46.637a1.748 1.748 0 0 1 1.08 0Zm-.617 1.426-8.25 2.676a.249.249 0 0 0-.173.237V10c0 5.46 3.28 9.483 8.43 11.426a.199.199 0 0 0 .14 0C17.22 19.483 20.5 15.461 20.5 10V4.976a.25.25 0 0 0-.173-.237l-8.25-2.676a.253.253 0 0 0-.154 0Z"></path> </svg> <div> <div class="color-fg-default h4">GitHub Advanced Security</div> Find and fix vulnerabilities </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" 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1.5h-.5a.75.75 0 0 1-.75-.75Z"></path> </svg> <div> <div class="color-fg-default h4">Codespaces</div> Instant dev environments </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"issues","context":"product","tag":"link","label":"issues_link_product_navbar"}" href="https://github.com/features/issues"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-issue-opened color-fg-subtle mr-3"> <path d="M12 1c6.075 0 11 4.925 11 11s-4.925 11-11 11S1 18.075 1 12 5.925 1 12 1ZM2.5 12a9.5 9.5 0 0 0 9.5 9.5 9.5 9.5 0 0 0 9.5-9.5A9.5 9.5 0 0 0 12 2.5 9.5 9.5 0 0 0 2.5 12Zm9.5 2a2 2 0 1 1-.001-3.999A2 2 0 0 1 12 14Z"></path> </svg> <div> <div class="color-fg-default h4">Issues</div> Plan and track work </div> </a></li> <li> <a 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0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{"location":"navbar","action":"github_skills","context":"product","tag":"link","label":"github_skills_link_product_navbar"}" href="https://skills.github.com"> GitHub Skills <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 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name="include_email" id="include_email" aria-label="Include my email address so I can be contacted" class="form-control mr-2" type="checkbox"> <label for="include_email" style="font-weight: normal">Include my email address so I can be contacted</label> </form></div> </scrollable-region> <div data-view-component="true" class="Overlay-footer Overlay-footer--alignEnd"> <button data-close-dialog-id="feedback-dialog" type="button" data-view-component="true" class="btn"> Cancel </button> <button form="code-search-feedback-form" data-action="click:qbsearch-input#submitFeedback" type="submit" data-view-component="true" class="btn-primary btn"> Submit feedback </button> </div> </dialog></dialog-helper> <custom-scopes data-target="qbsearch-input.customScopesManager"> <dialog-helper> <dialog data-target="custom-scopes.customScopesModalDialog" data-action="close:qbsearch-input#handleDialogClose cancel:qbsearch-input#handleDialogClose" id="custom-scopes-dialog" aria-modal="true" aria-labelledby="custom-scopes-dialog-title" aria-describedby="custom-scopes-dialog-description" data-view-component="true" class="Overlay Overlay-whenNarrow Overlay--size-medium Overlay--motion-scaleFade Overlay--disableScroll"> <div data-view-component="true" class="Overlay-header Overlay-header--divided"> <div class="Overlay-headerContentWrap"> <div class="Overlay-titleWrap"> <h1 class="Overlay-title " id="custom-scopes-dialog-title"> Saved searches </h1> <h2 id="custom-scopes-dialog-description" class="Overlay-description">Use saved searches to filter your results more quickly</h2> </div> <div class="Overlay-actionWrap"> <button data-close-dialog-id="custom-scopes-dialog" aria-label="Close" type="button" data-view-component="true" class="close-button Overlay-closeButton"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg></button> </div> </div> </div> <scrollable-region data-labelled-by="custom-scopes-dialog-title"> <div data-view-component="true" class="Overlay-body"> <div data-target="custom-scopes.customScopesModalDialogFlash"></div> <div hidden class="create-custom-scope-form" data-target="custom-scopes.createCustomScopeForm"> </option></form><form id="custom-scopes-dialog-form" data-turbo="false" action="/search/custom_scopes" accept-charset="UTF-8" method="post"><input type="hidden" data-csrf="true" name="authenticity_token" value="/OvVS6sKudTzIaU4O4EfBPhGu0gdh5zmljIvrlnGPLVWGv92VH/fWM9w1rJ2vl3KtgLy47EMj47fu+ZcoQlC4Q==" /> <div data-target="custom-scopes.customScopesModalDialogFlash"></div> <input type="hidden" id="custom_scope_id" name="custom_scope_id" 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href=\"https://private-user-images.githubusercontent.com/7064054/382414205-51e33300-7f85-43ff-a05a-3a0317a961f3.jpeg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.7rckjQkV9pVDFtl0Op53kBi1EttQ6BHSIQXBw0khhyA\"\u003e\u003cimg src=\"https://private-user-images.githubusercontent.com/7064054/382414205-51e33300-7f85-43ff-a05a-3a0317a961f3.jpeg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.7rckjQkV9pVDFtl0Op53kBi1EttQ6BHSIQXBw0khhyA\" alt=\"milvus banner\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003cdiv align=\"middle\" dir=\"auto\"\u003e\n \u003ca href=\"https://github.com/milvus-io/milvus/blob/master/LICENSE\"\u003e\u003cimg height=\"20\" src=\"https://camo.githubusercontent.com/367672be9734f4c8f58140a67a3bc606445288a29ca4030c7770b6e94cf8d863/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f6d696c7675732d696f2f6d696c767573\" alt=\"license\" data-canonical-src=\"https://img.shields.io/github/license/milvus-io/milvus\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n \u003ca href=\"https://milvus.io/docs/install_standalone-docker.md\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/62acac63d8e8a2c46025e599c2dec54101ec28f86f84f858381ab79f617088f2/68747470733a2f2f696d672e736869656c64732e696f2f646f636b65722f70756c6c732f6d696c76757364622f6d696c767573\" alt=\"docker-pull-count\" data-canonical-src=\"https://img.shields.io/docker/pulls/milvusdb/milvus\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n \u003ca href=\"https://milvus.io/docs/roadmap.md\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/70c6710bde0f99dc80b810b74ecc50d52a47bb2d23c8e598f08bfe13bc4f0e2b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f323032352d726f61646d61702d6f72616e6765\" alt=\"fully-managed-milvus\" data-canonical-src=\"https://img.shields.io/badge/2025-roadmap-orange\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n \u003ca href=\"https://cloud.zilliz.com/signup?utm_source=partner\u0026amp;utm_medium=referral\u0026amp;utm_campaign=2024-11-04_web_github-readme_global\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/87fb1b8091f233d63cccb27457e986c1ad229bc71a9584fabb9b95d7187a2495/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f66756c6c795f6d616e616765642d6d696c7675732d626c7565\" alt=\"fully-managed-milvus\" data-canonical-src=\"https://img.shields.io/badge/fully_managed-milvus-blue\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n \u003ca href=\"https://milvus.io/docs/tutorials-overview.md\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/d3963504dc8fd054774e86b5f9369bba80252400d685516a669adade7b50aabe/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f7475746f7269616c732d677265656e\" alt=\"tutorials\" data-canonical-src=\"https://img.shields.io/badge/tutorials-green\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n \u003ca href=\"https://discord.gg/mKc3R95yE5\" rel=\"nofollow\"\u003e\u003cimg height=\"20\" src=\"https://camo.githubusercontent.com/404c37b96536f6a6f4740fe538fbbd1a05885008f18efd46c127a6964d3fb9fc/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f446973636f72642d2532333538363546322e7376673f7374796c653d666f722d7468652d6261646765266c6f676f3d646973636f7264266c6f676f436f6c6f723d7768697465\" alt=\"discord\" data-canonical-src=\"https://img.shields.io/badge/Discord-%235865F2.svg?style=for-the-badge\u0026amp;logo=discord\u0026amp;logoColor=white\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n \u003ca href=\"https://x.com/milvusio\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/937f66cf2c0f0517b78b14c2cd40ce7d383c6d61f0359a37a74740c457dfb791/68747470733a2f2f696d672e736869656c64732e696f2f747769747465722f666f6c6c6f772f6d696c767573696f\" alt=\"twitter\" data-canonical-src=\"https://img.shields.io/twitter/follow/milvusio\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eWhat is Milvus?\u003c/h2\u003e\u003ca id=\"user-content-what-is-milvus\" class=\"anchor\" aria-label=\"Permalink: What is Milvus?\" href=\"#what-is-milvus\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e🐦 \u003ca href=\"https://milvus.io/\" rel=\"nofollow\"\u003eMilvus\u003c/a\u003e is a high-performance vector database built for scale. It powers AI applications by efficiently organizing and searching vast amounts of unstructured data, such as text, images, and multi-modal information.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e🧑‍💻 Written in Go and C++, Milvus implements hardware accelaration for CPU/GPU to achieve best-in-class vector search performance. Thanks to its \u003ca href=\"https://milvus.io/docs/overview.md#What-Makes-Milvus-so-Scalable\" rel=\"nofollow\"\u003efully-distributed and K8s-native architecture\u003c/a\u003e, Milvus can scale horizontally, handle tens of thousands of search queries on billions of vectors, and keep data fresh with real-time streaming updates. Milvus also supports \u003ca href=\"https://milvus.io/docs/install_standalone-docker.md\" rel=\"nofollow\"\u003eStandalone mode\u003c/a\u003e for single machine deployment. \u003ca href=\"https://milvus.io/docs/milvus_lite.md\" rel=\"nofollow\"\u003eMilvus Lite\u003c/a\u003e is a lightweight version good for quickstart in python with \u003ccode\u003epip install\u003c/code\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eWant to use Milvus with zero setup? Try out \u003ca href=\"https://cloud.zilliz.com/signup?utm_source=partner\u0026amp;utm_medium=referral\u0026amp;utm_campaign=2024-11-04_web_github-readme_global\" rel=\"nofollow\"\u003eZilliz Cloud ☁️\u003c/a\u003e for free. Milvus is available as a fully managed service on Zilliz Cloud, with \u003ca href=\"https://zilliz.com/serverless?utm_source=partner\u0026amp;utm_medium=referral\u0026amp;utm_campaign=2024-11-04_web_github-readme_global\" rel=\"nofollow\"\u003eServerless\u003c/a\u003e, \u003ca href=\"https://zilliz.com/cloud?utm_source=partner\u0026amp;utm_medium=referral\u0026amp;utm_campaign=2024-11-04_web_github-readme_global\" rel=\"nofollow\"\u003eDedicated\u003c/a\u003e and \u003ca href=\"https://zilliz.com/bring-your-own-cloud?utm_source=partner\u0026amp;utm_medium=referral\u0026amp;utm_campaign=2024-11-04_web_github-readme_global\" rel=\"nofollow\"\u003eBYOC\u003c/a\u003e options available.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eFor questions about how to use Milvus, join the community on \u003ca href=\"https://discord.gg/33mfvwep3J\" rel=\"nofollow\"\u003eDiscord\u003c/a\u003e to get help. For reporting problems, file bugs and feature requests in GitHub \u003ca href=\"https://github.com/milvus-io/milvus/issues\"\u003eIssues\u003c/a\u003e or ask in \u003ca href=\"https://github.com/milvus-io/milvus/discussions\"\u003eDiscussions\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThe Milvus open-source project is\nunder \u003ca href=\"https://lfaidata.foundation/projects/milvus/\" rel=\"nofollow\"\u003eLF AI \u0026amp; Data Foundation\u003c/a\u003e, distributed with \u003ca href=\"https://github.com/milvus-io/milvus/blob/master/LICENSE\"\u003eApache 2.0\u003c/a\u003e License, with Zilliz as its major contributor.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eQuickstart\u003c/h2\u003e\u003ca id=\"user-content-quickstart\" class=\"anchor\" aria-label=\"Permalink: Quickstart\" href=\"#quickstart\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"$ pip install -U pymilvus\"\u003e\u003cpre\u003e$ \u003cspan class=\"pl-s1\"\u003epip\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003einstall\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e-\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003eU\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003epymilvus\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis installs \u003ccode\u003epymilvus\u003c/code\u003e, the Python SDK for Milvus. Use \u003ccode\u003eMilvusClient\u003c/code\u003e to create a client:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"from pymilvus import MilvusClient\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003efrom\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003epymilvus\u003c/span\u003e \u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-v\"\u003eMilvusClient\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003ccode\u003epymilvus\u003c/code\u003e also includes Milvus Lite for quickstart. To create a local vector database, simply instantiate a client with a local file name for persisting data:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"client = MilvusClient(\u0026quot;milvus_demo.db\u0026quot;)\"\u003e\u003cpre\u003e\u003cspan class=\"pl-s1\"\u003eclient\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-en\"\u003eMilvusClient\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\"milvus_demo.db\"\u003c/span\u003e)\u003c/pre\u003e\u003c/div\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eYou can also specify the credentials to connect to your deployed \u003ca href=\"https://milvus.io/docs/authenticate.md?tab=docker\" rel=\"nofollow\"\u003eMilvus server\u003c/a\u003e or \u003ca href=\"https://docs.zilliz.com/docs/quick-start\" rel=\"nofollow\"\u003eZilliz Cloud\u003c/a\u003e:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"client = MilvusClient(\n uri=\u0026quot;\u0026lt;endpoint_of_self_hosted_milvus_or_zilliz_cloud\u0026gt;\u0026quot;,\n token=\u0026quot;\u0026lt;username_and_password_or_zilliz_cloud_api_key\u0026gt;\u0026quot;)\"\u003e\u003cpre\u003e\u003cspan class=\"pl-s1\"\u003eclient\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-en\"\u003eMilvusClient\u003c/span\u003e(\n \u003cspan class=\"pl-s1\"\u003euri\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"\u0026lt;endpoint_of_self_hosted_milvus_or_zilliz_cloud\u0026gt;\"\u003c/span\u003e,\n \u003cspan class=\"pl-s1\"\u003etoken\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"\u0026lt;username_and_password_or_zilliz_cloud_api_key\u0026gt;\"\u003c/span\u003e)\u003c/pre\u003e\u003c/div\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eWith the client, you can create collection:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"client.create_collection(\n collection_name=\u0026quot;demo_collection\u0026quot;,\n dimension=768, # The vectors we will use in this demo have 768 dimensions\n)\"\u003e\u003cpre\u003e\u003cspan class=\"pl-s1\"\u003eclient\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003ecreate_collection\u003c/span\u003e(\n \u003cspan class=\"pl-s1\"\u003ecollection_name\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"demo_collection\"\u003c/span\u003e,\n \u003cspan class=\"pl-s1\"\u003edimension\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e768\u003c/span\u003e, \u003cspan class=\"pl-c\"\u003e# The vectors we will use in this demo have 768 dimensions\u003c/span\u003e\n)\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIngest data:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"res = client.insert(collection_name=\u0026quot;demo_collection\u0026quot;, data=data)\"\u003e\u003cpre\u003e\u003cspan class=\"pl-s1\"\u003eres\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eclient\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003einsert\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003ecollection_name\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"demo_collection\"\u003c/span\u003e, \u003cspan class=\"pl-s1\"\u003edata\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003edata\u003c/span\u003e)\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ePerform vector search:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"query_vectors = embedding_fn.encode_queries([\u0026quot;Who is Alan Turing?\u0026quot;, \u0026quot;What is AI?\u0026quot;])\nres = client.search(\n collection_name=\u0026quot;demo_collection\u0026quot;, # target collection\n data=query_vectors, # a list of one or more query vectors, supports batch\n limit=2, # how many results to return (topK)\n output_fields=[\u0026quot;vector\u0026quot;, \u0026quot;text\u0026quot;, \u0026quot;subject\u0026quot;], # what fields to return\n)\"\u003e\u003cpre\u003e\u003cspan class=\"pl-s1\"\u003equery_vectors\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eembedding_fn\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eencode_queries\u003c/span\u003e([\u003cspan class=\"pl-s\"\u003e\"Who is Alan Turing?\"\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\"What is AI?\"\u003c/span\u003e])\n\u003cspan class=\"pl-s1\"\u003eres\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eclient\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003esearch\u003c/span\u003e(\n \u003cspan class=\"pl-s1\"\u003ecollection_name\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"demo_collection\"\u003c/span\u003e, \u003cspan class=\"pl-c\"\u003e# target collection\u003c/span\u003e\n \u003cspan class=\"pl-s1\"\u003edata\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003equery_vectors\u003c/span\u003e, \u003cspan class=\"pl-c\"\u003e# a list of one or more query vectors, supports batch\u003c/span\u003e\n \u003cspan class=\"pl-s1\"\u003elimit\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e2\u003c/span\u003e, \u003cspan class=\"pl-c\"\u003e# how many results to return (topK)\u003c/span\u003e\n \u003cspan class=\"pl-s1\"\u003eoutput_fields\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e[\u003cspan class=\"pl-s\"\u003e\"vector\"\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\"text\"\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\"subject\"\u003c/span\u003e], \u003cspan class=\"pl-c\"\u003e# what fields to return\u003c/span\u003e\n)\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eWhy Milvus\u003c/h2\u003e\u003ca id=\"user-content-why-milvus\" class=\"anchor\" aria-label=\"Permalink: Why Milvus\" href=\"#why-milvus\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eMilvus is designed to handle vector search at scale. It stores vectors, which are learned representations of unstructured data, together with other scalar data types such as integers, strings, and JSON objects. Users can conduct efficient vector search with metadata filtering or hybrid search. Here are why developers choose Milvus as the vector database for AI applications:\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eHigh Performance at Scale and High Availability\u003c/strong\u003e\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eMilvus features a \u003ca href=\"https://milvus.io/docs/architecture_overview.md\" rel=\"nofollow\"\u003edistributed architecture\u003c/a\u003e that separates \u003ca href=\"https://milvus.io/docs/data_processing.md#Data-query\" rel=\"nofollow\"\u003ecompute\u003c/a\u003e and \u003ca href=\"https://milvus.io/docs/data_processing.md#Data-insertion\" rel=\"nofollow\"\u003estorage\u003c/a\u003e. Milvus can horizontally scale and adapt to diverse traffic patterns, achieving optimal performance by independently increasing query nodes for read-heavy workload and data node for write-heavy workload. The stateless microservices on K8s allow \u003ca href=\"https://milvus.io/docs/coordinator_ha.md#Coordinator-HA\" rel=\"nofollow\"\u003equick recovery\u003c/a\u003e from failure, ensuring high availability. The support for \u003ca href=\"https://milvus.io/docs/replica.md\" rel=\"nofollow\"\u003ereplicas\u003c/a\u003e further enhances fault tolerance and throughput by loading data segments on multiple query nodes. See \u003ca href=\"https://zilliz.com/vector-database-benchmark-tool\" rel=\"nofollow\"\u003ebenchmark\u003c/a\u003e for performance comparison.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eSupport for Various Vector Index Types and Hardware Acceleration\u003c/strong\u003e\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eMilvus separates the system and core vector search engine, allowing it to support all major vector index types that are optimized for different scenarios, including HNSW, IVF, FLAT (brute-force), SCANN, and DiskANN, with \u003ca href=\"https://milvus.io/docs/index.md?tab=floating#IVFPQ\" rel=\"nofollow\"\u003equantization-based\u003c/a\u003e variations and \u003ca href=\"https://milvus.io/docs/mmap.md\" rel=\"nofollow\"\u003emmap\u003c/a\u003e. Milvus optimizes vector search for advanced features such as \u003ca href=\"https://milvus.io/docs/scalar_index.md#Scalar-Index\" rel=\"nofollow\"\u003emetadata filtering\u003c/a\u003e and \u003ca href=\"https://milvus.io/docs/single-vector-search.md#Range-search\" rel=\"nofollow\"\u003erange search\u003c/a\u003e. Additionally, Milvus implements hardware acceleration to enhance vector search performance and supports GPU indexing, such as NVIDIA's \u003ca href=\"https://github.com/rapidsai/cuvs\"\u003eCAGRA\u003c/a\u003e.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eFlexible Multi-tenancy and Hot/Cold Storage\u003c/strong\u003e\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eMilvus supports \u003ca href=\"https://milvus.io/docs/multi_tenancy.md#Multi-tenancy-strategies\" rel=\"nofollow\"\u003emulti-tenancy\u003c/a\u003e through isolation at database, collection, partition, or partition key level. The flexible strategies allow a single cluster to handle hundreds to millions of tenants, also ensures optimized search performance and flexible access control. Milvus enhances cost-effectiveness with hot/cold storage. Frequently accessed hot data can be stored in memory or on SSDs for better performance, while less-accessed cold data is kept on slower, cost-effective storage. This mechanism can significantly reduce costs while maintaining high performance for critical tasks.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eSparse Vector for Full Text Search and Hybrid Search\u003c/strong\u003e\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eIn addition to semantic search through dense vector, Milvus also natively supports \u003ca href=\"https://milvus.io/docs/full-text-search.md\" rel=\"nofollow\"\u003efull text search\u003c/a\u003e with BM25 as well as learned sparse embedding such as SPLADE and BGE-M3. Users can store sparse vector and dense vector in the same collection, and define functions to rerank results from multiple search requests. See examples of \u003ca href=\"https://milvus.io/docs/full_text_search_with_milvus.md\" rel=\"nofollow\"\u003eHybrid Search with semantic search + full text search\u003c/a\u003e.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eData Security and Fine-grain Access Control\u003c/strong\u003e\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eMilvus ensures data security by implementing mandatory user authentication, TLS encryption, and Role-Based Access Control (RBAC). User authentication ensures that only authorized users with valid credentials can access the database, while TLS encryption secures all communications within the network. Additionally, RBAC allows for fine-grained access control by assigning specific permissions to users based on their roles. These features make Milvus a robust and secure choice for enterprise applications, protecting sensitive data from unauthorized access and potential breaches.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eMilvus is trusted by AI developers to build applications such as text and image search, Retrieval-Augmented Generation (RAG), and recommendation systems. Milvus powers many mission-critical business for startups and enterprises.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eDemos and Tutorials\u003c/h2\u003e\u003ca id=\"user-content-demos-and-tutorials\" class=\"anchor\" aria-label=\"Permalink: Demos and Tutorials\" href=\"#demos-and-tutorials\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eHere is a selection of demos and tutorials to show how to build various types of AI applications made with Milvus:\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eYou can explore a comprehensive \u003ca href=\"https://milvus.io/docs/tutorials-overview.md\" rel=\"nofollow\"\u003eTutorials Overview\u003c/a\u003e covering topics such as Retrieval-Augmented Generation (RAG), Semantic Search, Hybrid Search, Question Answering, Recommendation Systems, and various quick-start guides. These resources are designed to help you get started quickly and efficiently.\u003c/p\u003e\n\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eTutorial\u003c/th\u003e\n\u003cth\u003eUse Case\u003c/th\u003e\n\u003cth\u003eRelated Milvus Features\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://milvus.io/docs/build-rag-with-milvus.md\" rel=\"nofollow\"\u003eBuild RAG with Milvus\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003eRAG\u003c/td\u003e\n\u003ctd\u003evector search\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://milvus.io/docs/how_to_enhance_your_rag.md\" rel=\"nofollow\"\u003eAdvanced RAG Optimizations\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003eRAG\u003c/td\u003e\n\u003ctd\u003evector search, full text search\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://milvus.io/docs/full_text_search_with_milvus.md\" rel=\"nofollow\"\u003eFull Text Search with Milvus\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003eText Search\u003c/td\u003e\n\u003ctd\u003efull text search\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://milvus.io/docs/hybrid_search_with_milvus.md\" rel=\"nofollow\"\u003eHybrid Search with Milvus\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003eHybrid Search\u003c/td\u003e\n\u003ctd\u003ehybrid search, multi vector, dense embedding, sparse embedding\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://milvus.io/docs/image_similarity_search.md\" rel=\"nofollow\"\u003eImage Search with Milvus\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003eSemantic Search\u003c/td\u003e\n\u003ctd\u003evector search, dynamic field\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://milvus.io/docs/multimodal_rag_with_milvus.md\" rel=\"nofollow\"\u003eMultimodal Search using Multi Vectors\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003eSemantic Search\u003c/td\u003e\n\u003ctd\u003emulti vector, hybrid search\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://milvus.io/docs/movie_recommendation_with_milvus.md\" rel=\"nofollow\"\u003eMovie Recommendation with Milvus\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003eRecommendation System\u003c/td\u003e\n\u003ctd\u003evector search\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://milvus.io/docs/graph_rag_with_milvus.md\" rel=\"nofollow\"\u003eGraph RAG with Milvus\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003eRAG\u003c/td\u003e\n\u003ctd\u003egraph search\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://milvus.io/docs/contextual_retrieval_with_milvus.md\" rel=\"nofollow\"\u003eContextual Retrieval with Milvus\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003eQuickstart\u003c/td\u003e\n\u003ctd\u003evector search\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://milvus.io/docs/vector_visualization.md\" rel=\"nofollow\"\u003eVector Visualization\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003eQuickstart\u003c/td\u003e\n\u003ctd\u003evector search\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://milvus.io/docs/hdbscan_clustering_with_milvus.md\" rel=\"nofollow\"\u003eHDBSCAN Clustering with Milvus\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003eQuickstart\u003c/td\u003e\n\u003ctd\u003evector search\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://milvus.io/docs/use_ColPali_with_milvus.md\" rel=\"nofollow\"\u003eUse ColPali for Multi-Modal Retrieval with Milvus\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003eQuickstart\u003c/td\u003e\n\u003ctd\u003evector search\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n \u003ctbody\u003e\u003ctr\u003e\n \u003ctd width=\"30%\"\u003e\n \u003ca href=\"https://milvus.io/milvus-demos\" rel=\"nofollow\"\u003e\n \u003cimg src=\"https://camo.githubusercontent.com/bad4c6bf7480724d31f5f86b80cc105f66ff5d3778a19fac86e79a1208e92c57/68747470733a2f2f6173736574732e7a696c6c697a2e636f6d2f696d6167655f7365617263685f353961363465346632322e676966\" data-animated-image=\"\" data-canonical-src=\"https://assets.zilliz.com/image_search_59a64e4f22.gif\" style=\"max-width: 100%;\"\u003e\n \u003c/a\u003e\n \u003c/td\u003e\n \u003ctd width=\"30%\"\u003e\n\u003ca href=\"https://milvus.io/milvus-demos\" rel=\"nofollow\"\u003e\n\u003cimg src=\"https://camo.githubusercontent.com/b410a9a6f83a5ac722cbd50542a58cf6ae591a6e41774a3cad0476c711e91821/68747470733a2f2f6173736574732e7a696c6c697a2e636f6d2f71615f646635656537626438332e676966\" data-animated-image=\"\" data-canonical-src=\"https://assets.zilliz.com/qa_df5ee7bd83.gif\" style=\"max-width: 100%;\"\u003e\n\u003c/a\u003e\n \u003c/td\u003e\n \u003ctd width=\"30%\"\u003e\n\u003ca href=\"https://milvus.io/milvus-demos\" rel=\"nofollow\"\u003e\n\u003cimg src=\"https://camo.githubusercontent.com/79312c2da594d1dc170e1699ae2bf0383f1970aaae934a7fcd5c3802f57f23c4/68747470733a2f2f6173736574732e7a696c6c697a2e636f6d2f6d6f6c655f7365617263685f373666383334303537322e676966\" data-animated-image=\"\" data-canonical-src=\"https://assets.zilliz.com/mole_search_76f8340572.gif\" style=\"max-width: 100%;\"\u003e\n\u003c/a\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth\u003e\n \u003ca href=\"https://milvus.io/milvus-demos\" rel=\"nofollow\"\u003eImage Search\u003c/a\u003e\n \u003c/th\u003e\n \u003cth\u003e\n \u003ca href=\"https://milvus.io/milvus-demos\" rel=\"nofollow\"\u003eRAG\u003c/a\u003e\n \u003c/th\u003e\n \u003cth\u003e\n \u003ca href=\"https://milvus.io/milvus-demos\" rel=\"nofollow\"\u003eDrug Discovery\u003c/a\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n\u003c/tbody\u003e\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eEcosystem and Integration\u003c/h2\u003e\u003ca id=\"user-content-ecosystem-and-integration\" class=\"anchor\" aria-label=\"Permalink: Ecosystem and Integration\" href=\"#ecosystem-and-integration\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eMilvus integrates with a comprehensive suite of \u003ca href=\"https://milvus.io/docs/integrations_overview.md\" rel=\"nofollow\"\u003eAI development tools\u003c/a\u003e, such as LangChain, LlamaIndex, OpenAI and HuggingFace, making it an ideal vector store for GenAI applications such as Retrieval-Augmented Generation (RAG). Milvus works with both open-source embedding models and embedding service, in text, image and video modalities. Milvus also provides a convenient util \u003ca href=\"https://milvus.io/docs/embeddings.md\" rel=\"nofollow\"\u003e\u003ccode\u003epymilvus[model]\u003c/code\u003e\u003c/a\u003e, users can use the simple wrapper code to transform unstructured data into vector embeddings and leverage reranking models for optimized search results. The Milvus ecosystem also includes \u003ca href=\"https://github.com/zilliztech/attu?tab=readme-ov-file#attu\"\u003eAttu\u003c/a\u003e for GUI-based administration, \u003ca href=\"https://milvus.io/docs/birdwatcher_overview.md\" rel=\"nofollow\"\u003eBirdwatcher\u003c/a\u003e for system debugging, \u003ca href=\"https://milvus.io/docs/monitor_overview.md\" rel=\"nofollow\"\u003ePrometheus/Grafana\u003c/a\u003e for monitoring, \u003ca href=\"https://milvus.io/docs/milvus-cdc-overview.md\" rel=\"nofollow\"\u003eMilvus CDC\u003c/a\u003e for data synchronization, \u003ca href=\"https://github.com/zilliztech/vts?tab=readme-ov-file#vts\"\u003eVTS\u003c/a\u003e for data migration and data connectors for \u003ca href=\"https://milvus.io/docs/integrate_with_spark.md#Spark-Milvus-Connector-User-Guide\" rel=\"nofollow\"\u003eSpark\u003c/a\u003e, \u003ca href=\"https://github.com/zilliztech/kafka-connect-milvus?tab=readme-ov-file#kafka-connect-milvus-connector\"\u003eKafka\u003c/a\u003e, \u003ca href=\"https://fivetran.com/docs/destinations/milvus\" rel=\"nofollow\"\u003eFivetran\u003c/a\u003e, and \u003ca href=\"https://milvus.io/docs/integrate_with_airbyte.md\" rel=\"nofollow\"\u003eAirbyte\u003c/a\u003e to build search pipelines.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eCheck out \u003ca href=\"https://milvus.io/docs/integrations_overview.md\" rel=\"nofollow\"\u003ehttps://milvus.io/docs/integrations_overview.md\u003c/a\u003e for more details.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eDocumentation\u003c/h2\u003e\u003ca id=\"user-content-documentation\" class=\"anchor\" aria-label=\"Permalink: Documentation\" href=\"#documentation\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eFor guidance on installation, usage, deployment, and administration, check out \u003ca href=\"https://milvus.io/docs\" rel=\"nofollow\"\u003eMilvus Docs\u003c/a\u003e. For technical milestones and enhancement proposals, check out \u003ca href=\"https://github.com/milvus-io/milvus/issues\"\u003eissues on GitHub\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eContributing\u003c/h2\u003e\u003ca id=\"user-content-contributing\" class=\"anchor\" aria-label=\"Permalink: Contributing\" href=\"#contributing\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe Milvus open-source project accepts contribution from everyone. See \u003ca href=\"https://github.com/milvus-io/milvus/blob/master/CONTRIBUTING.md\"\u003eGuidelines for Contributing\u003c/a\u003e for details on submitting patches and the development workflow. See our \u003ca href=\"https://github.com/milvus-io/community\"\u003ecommunity repository\u003c/a\u003e to learn about project governance and access more community resources.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eBuild Milvus from Source Code\u003c/h3\u003e\u003ca id=\"user-content-build-milvus-from-source-code\" class=\"anchor\" aria-label=\"Permalink: Build Milvus from Source Code\" href=\"#build-milvus-from-source-code\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eRequirements:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eLinux systems (Ubuntu 20.04 or later recommended):\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"go: \u0026gt;= 1.21\ncmake: \u0026gt;= 3.26.4\ngcc: 9.5\npython: \u0026gt; 3.8 and \u0026lt;= 3.11\"\u003e\u003cpre\u003ego: \u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e= 1.21\ncmake: \u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e= 3.26.4\ngcc: 9.5\npython: \u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e 3.8 and \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003e= 3.11\u003c/pre\u003e\u003c/div\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eMacOS systems with x86_64 (Big Sur 11.5 or later recommended):\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"go: \u0026gt;= 1.21\ncmake: \u0026gt;= 3.26.4\nllvm: \u0026gt;= 15\npython: \u0026gt; 3.8 and \u0026lt;= 3.11\"\u003e\u003cpre\u003ego: \u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e= 1.21\ncmake: \u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e= 3.26.4\nllvm: \u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e= 15\npython: \u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e 3.8 and \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003e= 3.11\u003c/pre\u003e\u003c/div\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eMacOS systems with Apple Silicon (Monterey 12.0.1 or later recommended):\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"go: \u0026gt;= 1.21 (Arch=ARM64)\ncmake: \u0026gt;= 3.26.4\nllvm: \u0026gt;= 15\npython: \u0026gt; 3.8 and \u0026lt;= 3.11\"\u003e\u003cpre\u003ego: \u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e= 1.21 (Arch=ARM64)\ncmake: \u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e= 3.26.4\nllvm: \u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e= 15\npython: \u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e 3.8 and \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003e= 3.11\u003c/pre\u003e\u003c/div\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eClone Milvus repo and build.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"# Clone github repository.\n$ git clone https://github.com/milvus-io/milvus.git\n\n# Install third-party dependencies.\n$ cd milvus/\n$ ./scripts/install_deps.sh\n\n# Compile Milvus.\n$ make\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e Clone github repository.\u003c/span\u003e\n$ git clone https://github.com/milvus-io/milvus.git\n\n\u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e Install third-party dependencies.\u003c/span\u003e\n$ \u003cspan class=\"pl-c1\"\u003ecd\u003c/span\u003e milvus/\n$ ./scripts/install_deps.sh\n\n\u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e Compile Milvus.\u003c/span\u003e\n$ make\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eFor full instructions, see \u003ca href=\"https://github.com/milvus-io/milvus/blob/master/DEVELOPMENT.md\"\u003edeveloper's documentation\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCommunity\u003c/h2\u003e\u003ca id=\"user-content-community\" class=\"anchor\" aria-label=\"Permalink: Community\" href=\"#community\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eJoin the Milvus community on \u003ca href=\"https://discord.gg/8uyFbECzPX\" rel=\"nofollow\"\u003eDiscord\u003c/a\u003e to share your suggestions, advice, and questions with our engineering team.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eTo learn latest news about Milvus, follow us on social media:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://twitter.com/milvusio\" rel=\"nofollow\"\u003eX\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://www.linkedin.com/company/the-milvus-project\" rel=\"nofollow\"\u003eLinkedIn\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://www.youtube.com/channel/UCMCo_F7pKjMHBlfyxwOPw-g\" rel=\"nofollow\"\u003eYoutube\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://medium.com/@milvusio\" rel=\"nofollow\"\u003eMedium\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eYou can also check out our \u003ca href=\"https://milvus.io/docs/performance_faq.md\" rel=\"nofollow\"\u003eFAQ page\u003c/a\u003e to discover solutions or answers to your issues or questions, and subscribe to Milvus mailing lists:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://lists.lfai.foundation/g/milvus-tsc\" rel=\"nofollow\"\u003eTechnical Steering Committee\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://lists.lfai.foundation/g/milvus-technical-discuss\" rel=\"nofollow\"\u003eTechnical Discussions\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://lists.lfai.foundation/g/milvus-announce\" rel=\"nofollow\"\u003eAnnouncement\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eReference\u003c/h2\u003e\u003ca id=\"user-content-reference\" class=\"anchor\" aria-label=\"Permalink: Reference\" href=\"#reference\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eReference to cite when you use Milvus in a research paper:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"@inproceedings{2021milvus,\n title={Milvus: A Purpose-Built Vector Data Management System},\n author={Wang, Jianguo and Yi, Xiaomeng and Guo, Rentong and Jin, Hai and Xu, Peng and Li, Shengjun and Wang, Xiangyu and Guo, Xiangzhou and Li, Chengming and Xu, Xiaohai and others},\n booktitle={Proceedings of the 2021 International Conference on Management of Data},\n pages={2614--2627},\n year={2021}\n}\n\n@article{2022manu,\n title={Manu: a cloud native vector database management system},\n author={Guo, Rentong and Luan, Xiaofan and Xiang, Long and Yan, Xiao and Yi, Xiaomeng and Luo, Jigao and Cheng, Qianya and Xu, Weizhi and Luo, Jiarui and Liu, Frank and others},\n journal={Proceedings of the VLDB Endowment},\n volume={15},\n number={12},\n pages={3548--3561},\n year={2022},\n publisher={VLDB Endowment}\n}\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003e@inproceedings{2021milvus,\n title={Milvus: A Purpose-Built Vector Data Management System},\n author={Wang, Jianguo and Yi, Xiaomeng and Guo, Rentong and Jin, Hai and Xu, Peng and Li, Shengjun and Wang, Xiangyu and Guo, Xiangzhou and Li, Chengming and Xu, Xiaohai and others},\n booktitle={Proceedings of the 2021 International Conference on Management of Data},\n pages={2614--2627},\n year={2021}\n}\n\n@article{2022manu,\n title={Manu: a cloud native vector database management system},\n author={Guo, Rentong and Luan, Xiaofan and Xiang, Long and Yan, Xiao and Yi, Xiaomeng and Luo, Jigao and Cheng, Qianya and Xu, Weizhi and Luo, Jiarui and Liu, Frank and others},\n journal={Proceedings of the VLDB Endowment},\n volume={15},\n number={12},\n pages={3548--3561},\n year={2022},\n publisher={VLDB Endowment}\n}\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://camo.githubusercontent.com/e6d1a7aadca8be07b4c72c70e80bd7246f6924e91f00a54c52e18b8758de8781/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f616c6c2d2d636f6e7472696275746f72732d3433372d6f72616e6765\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/e6d1a7aadca8be07b4c72c70e80bd7246f6924e91f00a54c52e18b8758de8781/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f616c6c2d2d636f6e7472696275746f72732d3433372d6f72616e6765\" data-canonical-src=\"https://img.shields.io/badge/all--contributors-437-orange\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003cbr\u003e\n\u003ca href=\"https://github.com/0xflotus\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/26602940?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/ABNER-1\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/24547351?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Abhijnan-Bajpai\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/57059194?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Accagain2014\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/9635216?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Ahmetyasin\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/34247619?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Ald392\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/166891594?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/AliDotS\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/33119433?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/AllenYu1987\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/12489985?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Anosh21\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/90505226?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/AnthonyTsu1984\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/115786031?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Aredcap\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/40494761?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/ArenaSu\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/21214629?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Armaggheddon\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/47779194?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Arya0812\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/114047052?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/BUPTAnderson\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/13449703?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Ben-Aaron-Bio-Rad\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/54123439?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Bennu-Li\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/53458891?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Biki-das\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/72331432?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/BossZou\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/40255591?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/CNLHC\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/21005146?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/CaoHaiNam\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/47685795?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Chisdo\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/36720318?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/ChunelFeng\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/37905059?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/CocytusElias\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/79587688?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/CodeInDreams\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/17664279?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/CsterKuroi\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/12230174?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Cupchen\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/34762375?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/DLT1412\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/8294986?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/DanielHuang1983\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/4417873?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Deep1Shikha\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/47516502?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/DerekChia\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/1457728?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/DingQK\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/58072531?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/DiptoChakrabarty\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/45638240?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Emma-Song\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/64460989?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/EricStarer\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/34002927?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Erzangel\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/57399897?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Fierralin\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/8857059?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/FluorineDog\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/15663612?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Giriraj-Roy\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/88903134?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Gofastasf\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/159963288?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Googleaa\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/55842817?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Gracieeea\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/50101579?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/GuanyunFeng\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/40229765?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/GuoRentong\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/57477222?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/GuyKh\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/3136012?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Hard-Coder05\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/54059881?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Heisenberg-Y\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/35055583?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/HesterG\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/17645053?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/HuaSheng2000\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/34791273?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/HuangHua\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/2274405?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Ice-YcY\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/85332705?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/JackLCL\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/53512883?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Jacksonxhx\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/139523303?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/JadeFlute0127\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/35321989?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Janglearnstocode\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/204587742?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Javajava1\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/29594737?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Jeri-jose\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/72429659?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/JinHai-CN\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/33142505?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/JsDove\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/35839735?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Juneezee\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/20135478?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/KubrickLiu\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/24795136?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/KumaJie\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/61139665?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/LeoReeYang\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/58654486?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Leslie-Wong-H\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/27696701?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Light-City\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/25699850?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Lin-gh-Saint\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/64019322?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Linkwei\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/30227152?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/LionelDong\"\u003e\u003cimg 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href=\"https://github.com/Raysilience\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/45241093?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Reidddddd\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/5352837?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/ReigenAraka\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/57280231?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Rijin-N\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/181319057?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/RosieZhang12\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/106942883?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/RyanWei\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/9876551?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/SCKCZJ2018\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/29282370?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/SarthakJain26\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/45846277?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/SimFG\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/21985684?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/SkyYang\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/4702509?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/SnowyOwl-KHY\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/10348819?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/SpadeA-Tang\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/71589810?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Spnetic-5\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/66636289?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Sunt-ing\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/43040147?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/SwaggySong\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/36157116?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Thor-ChenBiao\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/104345188?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/ThreadDao\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/27288593?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/ThyeeZz\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/41352919?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Tlincy\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/11934432?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Tumao727\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/20420181?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/UnyieldingOrca\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/11794047?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Writer-X\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/80471801?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Writtic\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/11371498?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Wuzhengda55\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/47274057?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Xieql\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/45359033?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/XuPeng-SH\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/39627130?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/XuanYang-cn\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/51370125?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/YannFollet\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/131855179?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/YidaHu\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/13404367?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/YiyunNi\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/74396087?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Yougigun\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/9638997?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Yukikaze-CZR\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/48198922?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Zach41\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/3941604?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/ZhaoBQ\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/35092554?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/aakejiang\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/68629395?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/aaronjin2010\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/48044391?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/abd-770\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/92085834?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/aharonh\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/350928?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/akihoni\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/36330442?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/alexanderguzhva\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/10901481?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/alwayslove2013\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/22510720?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/anchun\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/2356895?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/any35\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/2082210?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/aoiasd\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/45024769?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/arijit-chowdhury-genea\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/104769013?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/armanexplorer\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/44166374?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/ashkrisk\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/137368647?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/ashyshyshyman\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/50362613?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/avats-dev\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/35889327?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/avsolatorio\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/3009596?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/balloon1995\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/10573916?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/become-nice\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/56624819?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/bigsheeper\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/42060877?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/binbin12580\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/30914966?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/binbinlv\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/83755740?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/bjzhjing\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/46661806?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/bo-huang\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/24309515?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/brandonbiggs\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/34954680?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/brcarry\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/58139344?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/brunocfnba\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/7377163?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/bryanwux\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/17968665?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/caesarjuly\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/927521?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/caosiyang\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/2155120?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/carawaylj\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/69145751?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/charleskakumanu\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/62761315?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/charlspjohn\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/14850736?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/chasingegg\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/18375889?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/chengpu\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/2233492?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/chensanle\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/31087327?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/chenxingqiang\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/12387235?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/chinalu\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/167307?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/chinamcafee\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/3439961?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/christy\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/94918?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/chuangfengwang\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/24692397?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/chyezh\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/20332315?v=4\" width=\"30px\" 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href=\"https://github.com/erdustiggen\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/25433850?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/ericljx2020-gmail\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/68884486?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/feisiyicl\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/64510805?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/fengjun2016\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/23044049?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/filip-halt\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/81822489?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/filipecaixeta\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/1094052?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/fishpenguin\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/49153041?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/forsaken628\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/18322364?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/foxspy\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/11503321?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/franciscojavierarceo\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/4163062?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/freestsoul\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/3909908?v=4\" 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href=\"https://github.com/guimou\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/3944034?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/gujun720\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/53246671?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/guoxiangzhou\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/52496626?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/hadim\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/528003?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/haorenfsa\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/15938850?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/hedane\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/12457872?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/henryoswald\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/343366?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/hey-hoho\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/8401517?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/hishope\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/153272819?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/huanghaoyuanhhy\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/103482615?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/huangjincheng2022\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/98305308?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/ibrahimhaddad\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/1656002?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/im-ajaymeena\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/19550841?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/ireneontheway5\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/75291211?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/iynewz\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/81401074?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/izapolsk\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/21039333?v=4\" width=\"30px\" style=\"max-width: 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style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/qixuan0212\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/135136620?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/rahulmistri1997\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/58909377?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/rashgaroth\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/50513263?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/richzw\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/1590890?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/ronnie-llamado\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/35092029?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/sachitolani\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/146494073?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/sageanya\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/37909674?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/saisona\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/10884762?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/saivarunk\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/2976867?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/sapora1\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/59124772?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/sarah-inkeep\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/129242944?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/scipe\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/3996622?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/scsven\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/100122127?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/seo-jinBro\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/17746814?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/septemberfd\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/40378371?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/shana0325\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/33335490?v=4\" width=\"30px\" 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href=\"https://github.com/shiyu22\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/53459423?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/shunjiezhao\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/90906581?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/siddarth99\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/38921750?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/sileht\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/200878?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/simonwei97\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/119845914?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/siriusctrl\"\u003e\u003cimg 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style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/wangting0128\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/26307815?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/want-fly\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/36727480?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/water32\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/13234561?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/wayblink\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/18096561?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/weiZhenkun\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/27683687?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/weiliu1031\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/108661493?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/weishuo2\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/27938020?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/wg1026688210\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/14267759?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/wh201906\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/62299611?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/wscxyey\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/48882296?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/wwx441476\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/28601121?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/wxyucs\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/12595343?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/wxywb\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/5432721?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/wzymumon\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/46886508?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/xaxys\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/28949072?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/xiangzhouguo\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/93316470?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/xiaocai2333\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/46207236?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/xiaofan-luan\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/83447078?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/xiaohu4313888\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/39088547?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/xiedeyantu\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/49781471?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/xige-16\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/20124155?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/xiyichan\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/34647972?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/xudalin0609\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/35444753?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/xuqiwe\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/57252655?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/xzshinan\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/7299894?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yah01\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/12216890?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yahorbarkouski\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/94449298?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yamasite\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/10089260?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yanliang567\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/82361606?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yellow-shine\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/149367927?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yelusion2\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/97278661?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yhmo\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/2282099?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yiuluchen\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/23047684?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yiwangdr\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/80064917?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yiwen92\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/34636520?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yongpengli-z\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/103410837?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/youny626\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/9016120?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/ytang07\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/17556662?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yuhaowin\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/34699768?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yuyicai\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/13033733?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yuyu-wy\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/81746160?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yxm1536\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/62009483?v=4\" width=\"30px\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/yylstudy\"\u003e\u003cimg 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1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">🐦 <a href="https://milvus.io/" rel="nofollow">Milvus</a> is a high-performance vector database built for scale. It powers AI applications by efficiently organizing and searching vast amounts of unstructured data, such as text, images, and multi-modal information.</p> <p dir="auto">🧑‍💻 Written in Go and C++, Milvus implements hardware accelaration for CPU/GPU to achieve best-in-class vector search performance. Thanks to its <a href="https://milvus.io/docs/overview.md#What-Makes-Milvus-so-Scalable" rel="nofollow">fully-distributed and K8s-native architecture</a>, Milvus can scale horizontally, handle tens of thousands of search queries on billions of vectors, and keep data fresh with real-time streaming updates. Milvus also supports <a href="https://milvus.io/docs/install_standalone-docker.md" rel="nofollow">Standalone mode</a> for single machine deployment. <a href="https://milvus.io/docs/milvus_lite.md" rel="nofollow">Milvus Lite</a> is a lightweight version good for quickstart in python with <code>pip install</code>.</p> <p dir="auto">Want to use Milvus with zero setup? Try out <a href="https://cloud.zilliz.com/signup?utm_source=partner&utm_medium=referral&utm_campaign=2024-11-04_web_github-readme_global" rel="nofollow">Zilliz Cloud ☁️</a> for free. Milvus is available as a fully managed service on Zilliz Cloud, with <a href="https://zilliz.com/serverless?utm_source=partner&utm_medium=referral&utm_campaign=2024-11-04_web_github-readme_global" rel="nofollow">Serverless</a>, <a href="https://zilliz.com/cloud?utm_source=partner&utm_medium=referral&utm_campaign=2024-11-04_web_github-readme_global" rel="nofollow">Dedicated</a> and <a href="https://zilliz.com/bring-your-own-cloud?utm_source=partner&utm_medium=referral&utm_campaign=2024-11-04_web_github-readme_global" rel="nofollow">BYOC</a> options available.</p> <p dir="auto">For questions about how to use Milvus, join the community on <a href="https://discord.gg/33mfvwep3J" rel="nofollow">Discord</a> to get help. For reporting problems, file bugs and feature requests in GitHub <a href="https://github.com/milvus-io/milvus/issues">Issues</a> or ask in <a href="https://github.com/milvus-io/milvus/discussions">Discussions</a>.</p> <p dir="auto">The Milvus open-source project is under <a href="https://lfaidata.foundation/projects/milvus/" rel="nofollow">LF AI & Data Foundation</a>, distributed with <a href="https://github.com/milvus-io/milvus/blob/master/LICENSE">Apache 2.0</a> License, with Zilliz as its major contributor.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Quickstart</h2><a id="user-content-quickstart" class="anchor" aria-label="Permalink: Quickstart" href="#quickstart"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="$ pip install -U pymilvus"><pre>$ <span class="pl-s1">pip</span> <span class="pl-s1">install</span> <span class="pl-c1">-</span><span class="pl-c1">U</span> <span class="pl-s1">pymilvus</span></pre></div> <p dir="auto">This installs <code>pymilvus</code>, the Python SDK for Milvus. Use <code>MilvusClient</code> to create a client:</p> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="from pymilvus import MilvusClient"><pre><span class="pl-k">from</span> <span class="pl-s1">pymilvus</span> <span class="pl-k">import</span> <span class="pl-v">MilvusClient</span></pre></div> <ul dir="auto"> <li> <p dir="auto"><code>pymilvus</code> also includes Milvus Lite for quickstart. To create a local vector database, simply instantiate a client with a local file name for persisting data:</p> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="client = MilvusClient("milvus_demo.db")"><pre><span class="pl-s1">client</span> <span class="pl-c1">=</span> <span class="pl-en">MilvusClient</span>(<span class="pl-s">"milvus_demo.db"</span>)</pre></div> </li> <li> <p dir="auto">You can also specify the credentials to connect to your deployed <a href="https://milvus.io/docs/authenticate.md?tab=docker" rel="nofollow">Milvus server</a> or <a href="https://docs.zilliz.com/docs/quick-start" rel="nofollow">Zilliz Cloud</a>:</p> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="client = MilvusClient( uri="<endpoint_of_self_hosted_milvus_or_zilliz_cloud>", token="<username_and_password_or_zilliz_cloud_api_key>")"><pre><span class="pl-s1">client</span> <span class="pl-c1">=</span> <span class="pl-en">MilvusClient</span>( <span class="pl-s1">uri</span><span class="pl-c1">=</span><span class="pl-s">"<endpoint_of_self_hosted_milvus_or_zilliz_cloud>"</span>, <span class="pl-s1">token</span><span class="pl-c1">=</span><span class="pl-s">"<username_and_password_or_zilliz_cloud_api_key>"</span>)</pre></div> </li> </ul> <p dir="auto">With the client, you can create collection:</p> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="client.create_collection( collection_name="demo_collection", dimension=768, # The vectors we will use in this demo have 768 dimensions )"><pre><span class="pl-s1">client</span>.<span class="pl-c1">create_collection</span>( <span class="pl-s1">collection_name</span><span class="pl-c1">=</span><span class="pl-s">"demo_collection"</span>, <span class="pl-s1">dimension</span><span class="pl-c1">=</span><span class="pl-c1">768</span>, <span class="pl-c"># The vectors we will use in this demo have 768 dimensions</span> )</pre></div> <p dir="auto">Ingest data:</p> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="res = client.insert(collection_name="demo_collection", data=data)"><pre><span class="pl-s1">res</span> <span class="pl-c1">=</span> <span class="pl-s1">client</span>.<span class="pl-c1">insert</span>(<span class="pl-s1">collection_name</span><span class="pl-c1">=</span><span class="pl-s">"demo_collection"</span>, <span class="pl-s1">data</span><span class="pl-c1">=</span><span class="pl-s1">data</span>)</pre></div> <p dir="auto">Perform vector search:</p> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="query_vectors = embedding_fn.encode_queries(["Who is Alan Turing?", "What is AI?"]) res = client.search( collection_name="demo_collection", # target collection data=query_vectors, # a list of one or more query vectors, supports batch limit=2, # how many results to return (topK) output_fields=["vector", "text", "subject"], # what fields to return )"><pre><span class="pl-s1">query_vectors</span> <span class="pl-c1">=</span> <span class="pl-s1">embedding_fn</span>.<span class="pl-c1">encode_queries</span>([<span class="pl-s">"Who is Alan Turing?"</span>, <span class="pl-s">"What is AI?"</span>]) <span class="pl-s1">res</span> <span class="pl-c1">=</span> <span class="pl-s1">client</span>.<span class="pl-c1">search</span>( <span class="pl-s1">collection_name</span><span class="pl-c1">=</span><span class="pl-s">"demo_collection"</span>, <span class="pl-c"># target collection</span> <span class="pl-s1">data</span><span class="pl-c1">=</span><span class="pl-s1">query_vectors</span>, <span class="pl-c"># a list of one or more query vectors, supports batch</span> <span class="pl-s1">limit</span><span class="pl-c1">=</span><span class="pl-c1">2</span>, <span class="pl-c"># how many results to return (topK)</span> <span class="pl-s1">output_fields</span><span class="pl-c1">=</span>[<span class="pl-s">"vector"</span>, <span class="pl-s">"text"</span>, <span class="pl-s">"subject"</span>], <span class="pl-c"># what fields to return</span> )</pre></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Why Milvus</h2><a id="user-content-why-milvus" class="anchor" aria-label="Permalink: Why Milvus" href="#why-milvus"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Milvus is designed to handle vector search at scale. It stores vectors, which are learned representations of unstructured data, together with other scalar data types such as integers, strings, and JSON objects. Users can conduct efficient vector search with metadata filtering or hybrid search. Here are why developers choose Milvus as the vector database for AI applications:</p> <p dir="auto"><strong>High Performance at Scale and High Availability</strong></p> <ul dir="auto"> <li>Milvus features a <a href="https://milvus.io/docs/architecture_overview.md" rel="nofollow">distributed architecture</a> that separates <a href="https://milvus.io/docs/data_processing.md#Data-query" rel="nofollow">compute</a> and <a href="https://milvus.io/docs/data_processing.md#Data-insertion" rel="nofollow">storage</a>. Milvus can horizontally scale and adapt to diverse traffic patterns, achieving optimal performance by independently increasing query nodes for read-heavy workload and data node for write-heavy workload. The stateless microservices on K8s allow <a href="https://milvus.io/docs/coordinator_ha.md#Coordinator-HA" rel="nofollow">quick recovery</a> from failure, ensuring high availability. The support for <a href="https://milvus.io/docs/replica.md" rel="nofollow">replicas</a> further enhances fault tolerance and throughput by loading data segments on multiple query nodes. See <a href="https://zilliz.com/vector-database-benchmark-tool" rel="nofollow">benchmark</a> for performance comparison.</li> </ul> <p dir="auto"><strong>Support for Various Vector Index Types and Hardware Acceleration</strong></p> <ul dir="auto"> <li>Milvus separates the system and core vector search engine, allowing it to support all major vector index types that are optimized for different scenarios, including HNSW, IVF, FLAT (brute-force), SCANN, and DiskANN, with <a href="https://milvus.io/docs/index.md?tab=floating#IVFPQ" rel="nofollow">quantization-based</a> variations and <a href="https://milvus.io/docs/mmap.md" rel="nofollow">mmap</a>. Milvus optimizes vector search for advanced features such as <a href="https://milvus.io/docs/scalar_index.md#Scalar-Index" rel="nofollow">metadata filtering</a> and <a href="https://milvus.io/docs/single-vector-search.md#Range-search" rel="nofollow">range search</a>. Additionally, Milvus implements hardware acceleration to enhance vector search performance and supports GPU indexing, such as NVIDIA's <a href="https://github.com/rapidsai/cuvs">CAGRA</a>.</li> </ul> <p dir="auto"><strong>Flexible Multi-tenancy and Hot/Cold Storage</strong></p> <ul dir="auto"> <li>Milvus supports <a href="https://milvus.io/docs/multi_tenancy.md#Multi-tenancy-strategies" rel="nofollow">multi-tenancy</a> through isolation at database, collection, partition, or partition key level. The flexible strategies allow a single cluster to handle hundreds to millions of tenants, also ensures optimized search performance and flexible access control. Milvus enhances cost-effectiveness with hot/cold storage. Frequently accessed hot data can be stored in memory or on SSDs for better performance, while less-accessed cold data is kept on slower, cost-effective storage. This mechanism can significantly reduce costs while maintaining high performance for critical tasks.</li> </ul> <p dir="auto"><strong>Sparse Vector for Full Text Search and Hybrid Search</strong></p> <ul dir="auto"> <li>In addition to semantic search through dense vector, Milvus also natively supports <a href="https://milvus.io/docs/full-text-search.md" rel="nofollow">full text search</a> with BM25 as well as learned sparse embedding such as SPLADE and BGE-M3. Users can store sparse vector and dense vector in the same collection, and define functions to rerank results from multiple search requests. See examples of <a href="https://milvus.io/docs/full_text_search_with_milvus.md" rel="nofollow">Hybrid Search with semantic search + full text search</a>.</li> </ul> <p dir="auto"><strong>Data Security and Fine-grain Access Control</strong></p> <ul dir="auto"> <li>Milvus ensures data security by implementing mandatory user authentication, TLS encryption, and Role-Based Access Control (RBAC). User authentication ensures that only authorized users with valid credentials can access the database, while TLS encryption secures all communications within the network. Additionally, RBAC allows for fine-grained access control by assigning specific permissions to users based on their roles. These features make Milvus a robust and secure choice for enterprise applications, protecting sensitive data from unauthorized access and potential breaches.</li> </ul> <p dir="auto">Milvus is trusted by AI developers to build applications such as text and image search, Retrieval-Augmented Generation (RAG), and recommendation systems. Milvus powers many mission-critical business for startups and enterprises.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Demos and Tutorials</h2><a id="user-content-demos-and-tutorials" class="anchor" aria-label="Permalink: Demos and Tutorials" href="#demos-and-tutorials"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Here is a selection of demos and tutorials to show how to build various types of AI applications made with Milvus:</p> <p dir="auto">You can explore a comprehensive <a href="https://milvus.io/docs/tutorials-overview.md" rel="nofollow">Tutorials Overview</a> covering topics such as Retrieval-Augmented Generation (RAG), Semantic Search, Hybrid Search, Question Answering, Recommendation Systems, and various quick-start guides. These resources are designed to help you get started quickly and efficiently.</p> <markdown-accessiblity-table><table> <thead> <tr> <th>Tutorial</th> <th>Use Case</th> <th>Related Milvus Features</th> </tr> </thead> <tbody> <tr> <td><a href="https://milvus.io/docs/build-rag-with-milvus.md" rel="nofollow">Build RAG with Milvus</a></td> <td>RAG</td> <td>vector search</td> </tr> <tr> <td><a href="https://milvus.io/docs/how_to_enhance_your_rag.md" rel="nofollow">Advanced RAG Optimizations</a></td> <td>RAG</td> <td>vector search, full text search</td> </tr> <tr> <td><a href="https://milvus.io/docs/full_text_search_with_milvus.md" rel="nofollow">Full Text Search with Milvus</a></td> <td>Text Search</td> <td>full text search</td> </tr> <tr> <td><a href="https://milvus.io/docs/hybrid_search_with_milvus.md" rel="nofollow">Hybrid Search with Milvus</a></td> <td>Hybrid Search</td> <td>hybrid search, multi vector, dense embedding, sparse embedding</td> </tr> <tr> <td><a href="https://milvus.io/docs/image_similarity_search.md" rel="nofollow">Image Search with Milvus</a></td> <td>Semantic Search</td> <td>vector search, dynamic field</td> </tr> <tr> <td><a href="https://milvus.io/docs/multimodal_rag_with_milvus.md" rel="nofollow">Multimodal Search using Multi Vectors</a></td> <td>Semantic Search</td> <td>multi vector, hybrid search</td> </tr> <tr> <td><a href="https://milvus.io/docs/movie_recommendation_with_milvus.md" rel="nofollow">Movie Recommendation with Milvus</a></td> <td>Recommendation System</td> <td>vector search</td> </tr> <tr> <td><a href="https://milvus.io/docs/graph_rag_with_milvus.md" rel="nofollow">Graph RAG with Milvus</a></td> <td>RAG</td> <td>graph search</td> </tr> <tr> <td><a href="https://milvus.io/docs/contextual_retrieval_with_milvus.md" rel="nofollow">Contextual Retrieval with Milvus</a></td> <td>Quickstart</td> <td>vector search</td> </tr> <tr> <td><a href="https://milvus.io/docs/vector_visualization.md" rel="nofollow">Vector Visualization</a></td> <td>Quickstart</td> <td>vector search</td> </tr> <tr> <td><a href="https://milvus.io/docs/hdbscan_clustering_with_milvus.md" rel="nofollow">HDBSCAN Clustering with Milvus</a></td> <td>Quickstart</td> <td>vector search</td> </tr> <tr> <td><a href="https://milvus.io/docs/use_ColPali_with_milvus.md" rel="nofollow">Use ColPali for Multi-Modal Retrieval with Milvus</a></td> <td>Quickstart</td> <td>vector search</td> </tr> </tbody> </table></markdown-accessiblity-table> <markdown-accessiblity-table><table> <tbody><tr> <td width="30%"> <a href="https://milvus.io/milvus-demos" rel="nofollow"> <img src="https://camo.githubusercontent.com/bad4c6bf7480724d31f5f86b80cc105f66ff5d3778a19fac86e79a1208e92c57/68747470733a2f2f6173736574732e7a696c6c697a2e636f6d2f696d6167655f7365617263685f353961363465346632322e676966" data-animated-image="" data-canonical-src="https://assets.zilliz.com/image_search_59a64e4f22.gif" style="max-width: 100%;"> </a> </td> <td width="30%"> <a href="https://milvus.io/milvus-demos" rel="nofollow"> <img src="https://camo.githubusercontent.com/b410a9a6f83a5ac722cbd50542a58cf6ae591a6e41774a3cad0476c711e91821/68747470733a2f2f6173736574732e7a696c6c697a2e636f6d2f71615f646635656537626438332e676966" data-animated-image="" data-canonical-src="https://assets.zilliz.com/qa_df5ee7bd83.gif" style="max-width: 100%;"> </a> </td> <td width="30%"> <a href="https://milvus.io/milvus-demos" rel="nofollow"> <img src="https://camo.githubusercontent.com/79312c2da594d1dc170e1699ae2bf0383f1970aaae934a7fcd5c3802f57f23c4/68747470733a2f2f6173736574732e7a696c6c697a2e636f6d2f6d6f6c655f7365617263685f373666383334303537322e676966" data-animated-image="" data-canonical-src="https://assets.zilliz.com/mole_search_76f8340572.gif" style="max-width: 100%;"> </a> </td> </tr> <tr> <th> <a href="https://milvus.io/milvus-demos" rel="nofollow">Image Search</a> </th> <th> <a href="https://milvus.io/milvus-demos" rel="nofollow">RAG</a> </th> <th> <a href="https://milvus.io/milvus-demos" rel="nofollow">Drug Discovery</a> </th> </tr> </tbody></table></markdown-accessiblity-table> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Ecosystem and Integration</h2><a id="user-content-ecosystem-and-integration" class="anchor" aria-label="Permalink: Ecosystem and Integration" href="#ecosystem-and-integration"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Milvus integrates with a comprehensive suite of <a href="https://milvus.io/docs/integrations_overview.md" rel="nofollow">AI development tools</a>, such as LangChain, LlamaIndex, OpenAI and HuggingFace, making it an ideal vector store for GenAI applications such as Retrieval-Augmented Generation (RAG). Milvus works with both open-source embedding models and embedding service, in text, image and video modalities. Milvus also provides a convenient util <a href="https://milvus.io/docs/embeddings.md" rel="nofollow"><code>pymilvus[model]</code></a>, users can use the simple wrapper code to transform unstructured data into vector embeddings and leverage reranking models for optimized search results. The Milvus ecosystem also includes <a href="https://github.com/zilliztech/attu?tab=readme-ov-file#attu">Attu</a> for GUI-based administration, <a href="https://milvus.io/docs/birdwatcher_overview.md" rel="nofollow">Birdwatcher</a> for system debugging, <a href="https://milvus.io/docs/monitor_overview.md" rel="nofollow">Prometheus/Grafana</a> for monitoring, <a href="https://milvus.io/docs/milvus-cdc-overview.md" rel="nofollow">Milvus CDC</a> for data synchronization, <a href="https://github.com/zilliztech/vts?tab=readme-ov-file#vts">VTS</a> for data migration and data connectors for <a href="https://milvus.io/docs/integrate_with_spark.md#Spark-Milvus-Connector-User-Guide" rel="nofollow">Spark</a>, <a href="https://github.com/zilliztech/kafka-connect-milvus?tab=readme-ov-file#kafka-connect-milvus-connector">Kafka</a>, <a href="https://fivetran.com/docs/destinations/milvus" rel="nofollow">Fivetran</a>, and <a href="https://milvus.io/docs/integrate_with_airbyte.md" rel="nofollow">Airbyte</a> to build search pipelines.</p> <p dir="auto">Check out <a href="https://milvus.io/docs/integrations_overview.md" rel="nofollow">https://milvus.io/docs/integrations_overview.md</a> for more details.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Documentation</h2><a id="user-content-documentation" class="anchor" aria-label="Permalink: Documentation" href="#documentation"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">For guidance on installation, usage, deployment, and administration, check out <a href="https://milvus.io/docs" rel="nofollow">Milvus Docs</a>. For technical milestones and enhancement proposals, check out <a href="https://github.com/milvus-io/milvus/issues">issues on GitHub</a>.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Contributing</h2><a id="user-content-contributing" class="anchor" aria-label="Permalink: Contributing" href="#contributing"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">The Milvus open-source project accepts contribution from everyone. See <a href="https://github.com/milvus-io/milvus/blob/master/CONTRIBUTING.md">Guidelines for Contributing</a> for details on submitting patches and the development workflow. See our <a href="https://github.com/milvus-io/community">community repository</a> to learn about project governance and access more community resources.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Build Milvus from Source Code</h3><a id="user-content-build-milvus-from-source-code" class="anchor" aria-label="Permalink: Build Milvus from Source Code" href="#build-milvus-from-source-code"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Requirements:</p> <ul dir="auto"> <li> <p dir="auto">Linux systems (Ubuntu 20.04 or later recommended):</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="go: >= 1.21 cmake: >= 3.26.4 gcc: 9.5 python: > 3.8 and <= 3.11"><pre>go: <span class="pl-k">></span>= 1.21 cmake: <span class="pl-k">></span>= 3.26.4 gcc: 9.5 python: <span class="pl-k">></span> 3.8 and <span class="pl-k"><</span>= 3.11</pre></div> </li> <li> <p dir="auto">MacOS systems with x86_64 (Big Sur 11.5 or later recommended):</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="go: >= 1.21 cmake: >= 3.26.4 llvm: >= 15 python: > 3.8 and <= 3.11"><pre>go: <span class="pl-k">></span>= 1.21 cmake: <span class="pl-k">></span>= 3.26.4 llvm: <span class="pl-k">></span>= 15 python: <span class="pl-k">></span> 3.8 and <span class="pl-k"><</span>= 3.11</pre></div> </li> <li> <p dir="auto">MacOS systems with Apple Silicon (Monterey 12.0.1 or later recommended):</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="go: >= 1.21 (Arch=ARM64) cmake: >= 3.26.4 llvm: >= 15 python: > 3.8 and <= 3.11"><pre>go: <span class="pl-k">></span>= 1.21 (Arch=ARM64) cmake: <span class="pl-k">></span>= 3.26.4 llvm: <span class="pl-k">></span>= 15 python: <span class="pl-k">></span> 3.8 and <span class="pl-k"><</span>= 3.11</pre></div> </li> </ul> <p dir="auto">Clone Milvus repo and build.</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="# Clone github repository. $ git clone https://github.com/milvus-io/milvus.git # Install third-party dependencies. $ cd milvus/ $ ./scripts/install_deps.sh # Compile Milvus. $ make"><pre><span class="pl-c"><span class="pl-c">#</span> Clone github repository.</span> $ git clone https://github.com/milvus-io/milvus.git <span class="pl-c"><span class="pl-c">#</span> Install third-party dependencies.</span> $ <span class="pl-c1">cd</span> milvus/ $ ./scripts/install_deps.sh <span class="pl-c"><span class="pl-c">#</span> Compile Milvus.</span> $ make</pre></div> <p dir="auto">For full instructions, see <a href="https://github.com/milvus-io/milvus/blob/master/DEVELOPMENT.md">developer's documentation</a>.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Community</h2><a id="user-content-community" class="anchor" aria-label="Permalink: Community" href="#community"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Join the Milvus community on <a href="https://discord.gg/8uyFbECzPX" rel="nofollow">Discord</a> to share your suggestions, advice, and questions with our engineering team.</p> <p dir="auto">To learn latest news about Milvus, follow us on social media:</p> <ul dir="auto"> <li><a href="https://twitter.com/milvusio" rel="nofollow">X</a></li> <li><a href="https://www.linkedin.com/company/the-milvus-project" rel="nofollow">LinkedIn</a></li> <li><a href="https://www.youtube.com/channel/UCMCo_F7pKjMHBlfyxwOPw-g" rel="nofollow">Youtube</a></li> <li><a href="https://medium.com/@milvusio" rel="nofollow">Medium</a></li> </ul> <p dir="auto">You can also check out our <a href="https://milvus.io/docs/performance_faq.md" rel="nofollow">FAQ page</a> to discover solutions or answers to your issues or questions, and subscribe to Milvus mailing lists:</p> <ul dir="auto"> <li><a href="https://lists.lfai.foundation/g/milvus-tsc" rel="nofollow">Technical Steering Committee</a></li> <li><a href="https://lists.lfai.foundation/g/milvus-technical-discuss" rel="nofollow">Technical Discussions</a></li> <li><a href="https://lists.lfai.foundation/g/milvus-announce" rel="nofollow">Announcement</a></li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Reference</h2><a id="user-content-reference" class="anchor" aria-label="Permalink: Reference" href="#reference"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Reference to cite when you use Milvus in a research paper:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="@inproceedings{2021milvus, title={Milvus: A Purpose-Built Vector Data Management System}, author={Wang, Jianguo and Yi, Xiaomeng and Guo, Rentong and Jin, Hai and Xu, Peng and Li, Shengjun and Wang, Xiangyu and Guo, Xiangzhou and Li, Chengming and Xu, Xiaohai and others}, booktitle={Proceedings of the 2021 International Conference on Management of Data}, pages={2614--2627}, year={2021} } @article{2022manu, title={Manu: a cloud native vector database management system}, author={Guo, Rentong and Luan, Xiaofan and Xiang, Long and Yan, Xiao and Yi, Xiaomeng and Luo, Jigao and Cheng, Qianya and Xu, Weizhi and Luo, Jiarui and Liu, Frank and others}, journal={Proceedings of the VLDB Endowment}, volume={15}, number={12}, pages={3548--3561}, year={2022}, publisher={VLDB Endowment} }"><pre class="notranslate"><code>@inproceedings{2021milvus, title={Milvus: A Purpose-Built Vector Data Management System}, author={Wang, Jianguo and Yi, Xiaomeng and Guo, Rentong and Jin, Hai and Xu, Peng and Li, Shengjun and Wang, Xiangyu and Guo, Xiangzhou and Li, Chengming and Xu, Xiaohai and others}, booktitle={Proceedings of the 2021 International Conference on Management of Data}, pages={2614--2627}, year={2021} } @article{2022manu, title={Manu: a cloud native vector database management system}, author={Guo, Rentong and Luan, Xiaofan and Xiang, Long and Yan, Xiao and Yi, Xiaomeng and Luo, Jigao and Cheng, Qianya and Xu, Weizhi and Luo, Jiarui and Liu, Frank and others}, journal={Proceedings of the VLDB Endowment}, volume={15}, number={12}, pages={3548--3561}, year={2022}, publisher={VLDB Endowment} } </code></pre></div> <p dir="auto"><a target="_blank" rel="noopener noreferrer nofollow" href="https://camo.githubusercontent.com/e6d1a7aadca8be07b4c72c70e80bd7246f6924e91f00a54c52e18b8758de8781/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f616c6c2d2d636f6e7472696275746f72732d3433372d6f72616e6765"><img src="https://camo.githubusercontent.com/e6d1a7aadca8be07b4c72c70e80bd7246f6924e91f00a54c52e18b8758de8781/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f616c6c2d2d636f6e7472696275746f72732d3433372d6f72616e6765" 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high-performance, cloud-native vector database built for scalable vector ANN search </p> <div class="my-3 d-flex flex-items-center"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link flex-shrink-0 mr-2"> <path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path> </svg> <span class="flex-auto min-width-0 css-truncate css-truncate-target width-fit"> <a title="https://milvus.io" role="link" target="_blank" rel="noopener noreferrer nofollow" class="text-bold" href="https://milvus.io">milvus.io</a> </span> </div> <h3 class="sr-only">Topics</h3> <div class="my-3"> <div class="f6"> <a href="/topics/golang" title="Topic: golang" data-view-component="true" class="topic-tag topic-tag-link"> golang </a> <a href="/topics/distributed" title="Topic: distributed" data-view-component="true" class="topic-tag topic-tag-link"> distributed </a> <a href="/topics/nearest-neighbor-search" title="Topic: nearest-neighbor-search" data-view-component="true" class="topic-tag topic-tag-link"> nearest-neighbor-search </a> <a href="/topics/cloud-native" title="Topic: cloud-native" data-view-component="true" class="topic-tag topic-tag-link"> cloud-native </a> <a href="/topics/image-search" title="Topic: image-search" data-view-component="true" class="topic-tag topic-tag-link"> image-search </a> <a href="/topics/vector-similarity" title="Topic: vector-similarity" data-view-component="true" class="topic-tag topic-tag-link"> vector-similarity </a> <a href="/topics/faiss" title="Topic: faiss" data-view-component="true" class="topic-tag topic-tag-link"> faiss </a> <a href="/topics/anns" title="Topic: anns" data-view-component="true" class="topic-tag topic-tag-link"> anns </a> <a href="/topics/rag" title="Topic: rag" data-view-component="true" class="topic-tag topic-tag-link"> rag </a> <a href="/topics/hnsw" title="Topic: hnsw" data-view-component="true" class="topic-tag topic-tag-link"> hnsw </a> <a href="/topics/vector-search" title="Topic: vector-search" data-view-component="true" class="topic-tag topic-tag-link"> vector-search </a> <a href="/topics/vector-database" title="Topic: vector-database" data-view-component="true" class="topic-tag topic-tag-link"> vector-database </a> <a href="/topics/llm" title="Topic: llm" data-view-component="true" class="topic-tag topic-tag-link"> llm </a> <a href="/topics/embedding-database" title="Topic: embedding-database" data-view-component="true" class="topic-tag topic-tag-link"> embedding-database </a> <a href="/topics/embedding-store" title="Topic: embedding-store" data-view-component="true" class="topic-tag topic-tag-link"> embedding-store </a> <a href="/topics/vector-store" title="Topic: vector-store" data-view-component="true" class="topic-tag topic-tag-link"> vector-store </a> <a href="/topics/embedding-similarity" title="Topic: embedding-similarity" data-view-component="true" class="topic-tag topic-tag-link"> embedding-similarity </a> <a href="/topics/diskann" title="Topic: diskann" data-view-component="true" class="topic-tag topic-tag-link"> diskann </a> </div> </div> <h3 class="sr-only">Resources</h3> <div class="mt-2"> <a class="Link--muted" data-analytics-event="{"category":"Repository Overview","action":"click","label":"location:sidebar;file:readme"}" href="#readme-ov-file"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-book mr-2"> <path d="M0 1.75A.75.75 0 0 1 .75 1h4.253c1.227 0 2.317.59 3 1.501A3.743 3.743 0 0 1 11.006 1h4.245a.75.75 0 0 1 .75.75v10.5a.75.75 0 0 1-.75.75h-4.507a2.25 2.25 0 0 0-1.591.659l-.622.621a.75.75 0 0 1-1.06 0l-.622-.621A2.25 2.25 0 0 0 5.258 13H.75a.75.75 0 0 1-.75-.75Zm7.251 10.324.004-5.073-.002-2.253A2.25 2.25 0 0 0 5.003 2.5H1.5v9h3.757a3.75 3.75 0 0 1 1.994.574ZM8.755 4.75l-.004 7.322a3.752 3.752 0 0 1 1.992-.572H14.5v-9h-3.495a2.25 2.25 0 0 0-2.25 2.25Z"></path> </svg> Readme </a> </div> <h3 class="sr-only">License</h3> <div class="mt-2"> <a href="#Apache-2.0-1-ov-file" class="Link--muted" data-analytics-event="{"category":"Repository Overview","action":"click","label":"location:sidebar;file:license"}" > <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-law mr-2"> <path d="M8.75.75V2h.985c.304 0 .603.08.867.231l1.29.736c.038.022.08.033.124.033h2.234a.75.75 0 0 1 0 1.5h-.427l2.111 4.692a.75.75 0 0 1-.154.838l-.53-.53.529.531-.001.002-.002.002-.006.006-.006.005-.01.01-.045.04c-.21.176-.441.327-.686.45C14.556 10.78 13.88 11 13 11a4.498 4.498 0 0 1-2.023-.454 3.544 3.544 0 0 1-.686-.45l-.045-.04-.016-.015-.006-.006-.004-.004v-.001a.75.75 0 0 1-.154-.838L12.178 4.5h-.162c-.305 0-.604-.079-.868-.231l-1.29-.736a.245.245 0 0 0-.124-.033H8.75V13h2.5a.75.75 0 0 1 0 1.5h-6.5a.75.75 0 0 1 0-1.5h2.5V3.5h-.984a.245.245 0 0 0-.124.033l-1.289.737c-.265.15-.564.23-.869.23h-.162l2.112 4.692a.75.75 0 0 1-.154.838l-.53-.53.529.531-.001.002-.002.002-.006.006-.016.015-.045.04c-.21.176-.441.327-.686.45C4.556 10.78 3.88 11 3 11a4.498 4.498 0 0 1-2.023-.454 3.544 3.544 0 0 1-.686-.45l-.045-.04-.016-.015-.006-.006-.004-.004v-.001a.75.75 0 0 1-.154-.838L2.178 4.5H1.75a.75.75 0 0 1 0-1.5h2.234a.249.249 0 0 0 .125-.033l1.288-.737c.265-.15.564-.23.869-.23h.984V.75a.75.75 0 0 1 1.5 0Zm2.945 8.477c.285.135.718.273 1.305.273s1.02-.138 1.305-.273L13 6.327Zm-10 0c.285.135.718.273 1.305.273s1.02-.138 1.305-.273L3 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1.191-.905l-1.326-1.223a.75.75 0 0 1 1.018-1.102l1.48 1.366c.328-.281.659-.577.984-.887L9.99 9.802a.75.75 0 1 1 1.019-1.103l1.384 1.28c.295-.329.566-.661.81-.995L12.92 8.7l-1.167-1.168c-.674-.671-1.78-.664-2.474.03-.268.269-.538.537-.802.797-.893.882-2.319.843-3.185-.032-.346-.35-.693-.697-1.043-1.047a.75.75 0 0 1-.04-1.016c.162-.191.336-.401.52-.623.62-.748 1.356-1.637 2.166-2.417Zm7.112 4.442c.313-.65.491-1.293.491-1.916v-.001c0-.614-.088-1.045-.23-1.385-.143-.339-.357-.633-.673-.949a3.111 3.111 0 0 0-2.218-.915c-1.092.003-2.165.627-3.226 1.602-.823.755-1.554 1.637-2.228 2.45l-.127.154.562.566a.755.755 0 0 0 1.066.02l.794-.79c1.258-1.258 3.312-1.31 4.594-.032.396.394.792.791 1.173 1.173Z"></path> </svg> Code of conduct </a> </div> <include-fragment src="/milvus-io/milvus/hovercards/citation/sidebar_partial?tree_name=master"> </include-fragment> <div class="mt-2"> <a href="/milvus-io/milvus/activity" data-view-component="true" class="Link Link--muted"><svg text="gray" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-pulse mr-2"> <path d="M6 2c.306 0 .582.187.696.471L10 10.731l1.304-3.26A.751.751 0 0 1 12 7h3.25a.75.75 0 0 1 0 1.5h-2.742l-1.812 4.528a.751.751 0 0 1-1.392 0L6 4.77 4.696 8.03A.75.75 0 0 1 4 8.5H.75a.75.75 0 0 1 0-1.5h2.742l1.812-4.529A.751.751 0 0 1 6 2Z"></path> </svg> <span class="color-fg-muted">Activity</span></a> </div> <div class="mt-2"> <a href="/milvus-io/milvus/custom-properties" data-view-component="true" class="Link Link--muted"><svg text="gray" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-note mr-2"> <path d="M0 3.75C0 2.784.784 2 1.75 2h12.5c.966 0 1.75.784 1.75 1.75v8.5A1.75 1.75 0 0 1 14.25 14H1.75A1.75 1.75 0 0 1 0 12.25Zm1.75-.25a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h12.5a.25.25 0 0 0 .25-.25v-8.5a.25.25 0 0 0-.25-.25ZM3.5 6.25a.75.75 0 0 1 .75-.75h7a.75.75 0 0 1 0 1.5h-7a.75.75 0 0 1-.75-.75Zm.75 2.25h4a.75.75 0 0 1 0 1.5h-4a.75.75 0 0 1 0-1.5Z"></path> </svg> <span class="color-fg-muted">Custom properties</span></a> </div> <h3 class="sr-only">Stars</h3> <div class="mt-2"> <a href="/milvus-io/milvus/stargazers" data-view-component="true" class="Link Link--muted"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg> <strong>33.9k</strong> stars</a> </div> <h3 class="sr-only">Watchers</h3> <div class="mt-2"> <a href="/milvus-io/milvus/watchers" data-view-component="true" class="Link Link--muted"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-eye mr-2"> <path d="M8 2c1.981 0 3.671.992 4.933 2.078 1.27 1.091 2.187 2.345 2.637 3.023a1.62 1.62 0 0 1 0 1.798c-.45.678-1.367 1.932-2.637 3.023C11.67 13.008 9.981 14 8 14c-1.981 0-3.671-.992-4.933-2.078C1.797 10.83.88 9.576.43 8.898a1.62 1.62 0 0 1 0-1.798c.45-.677 1.367-1.931 2.637-3.022C4.33 2.992 6.019 2 8 2ZM1.679 7.932a.12.12 0 0 0 0 .136c.411.622 1.241 1.75 2.366 2.717C5.176 11.758 6.527 12.5 8 12.5c1.473 0 2.825-.742 3.955-1.715 1.124-.967 1.954-2.096 2.366-2.717a.12.12 0 0 0 0-.136c-.412-.621-1.242-1.75-2.366-2.717C10.824 4.242 9.473 3.5 8 3.5c-1.473 0-2.825.742-3.955 1.715-1.124.967-1.954 2.096-2.366 2.717ZM8 10a2 2 0 1 1-.001-3.999A2 2 0 0 1 8 10Z"></path> </svg> <strong>302</strong> watching</a> </div> <h3 class="sr-only">Forks</h3> <div class="mt-2"> <a href="/milvus-io/milvus/forks" data-view-component="true" class="Link Link--muted"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo-forked mr-2"> <path d="M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z"></path> </svg> <strong>3.1k</strong> forks</a> </div> <div class="mt-2"> <a class="Link--muted" href="/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fmilvus-io%2Fmilvus&report=milvus-io+%28user%29"> Report repository </a> </div> </div> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame"> <a href="/milvus-io/milvus/releases" data-view-component="true" class="Link--primary no-underline Link">Releases <span title="112" data-view-component="true" class="Counter">112</span></a></h2> <a class="Link--primary d-flex no-underline" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame" href="/milvus-io/milvus/releases/tag/v2.5.8"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-tag flex-shrink-0 mt-1 color-fg-success"> <path d="M1 7.775V2.75C1 1.784 1.784 1 2.75 1h5.025c.464 0 .91.184 1.238.513l6.25 6.25a1.75 1.75 0 0 1 0 2.474l-5.026 5.026a1.75 1.75 0 0 1-2.474 0l-6.25-6.25A1.752 1.752 0 0 1 1 7.775Zm1.5 0c0 .066.026.13.073.177l6.25 6.25a.25.25 0 0 0 .354 0l5.025-5.025a.25.25 0 0 0 0-.354l-6.25-6.25a.25.25 0 0 0-.177-.073H2.75a.25.25 0 0 0-.25.25ZM6 5a1 1 0 1 1 0 2 1 1 0 0 1 0-2Z"></path> </svg> <div class="ml-2 min-width-0"> <div class="d-flex"> <span class="css-truncate css-truncate-target text-bold mr-2" style="max-width: none;">milvus-2.5.8</span> <span title="Label: Latest" data-view-component="true" class="Label Label--success flex-shrink-0"> Latest </span> </div> <div class="text-small color-fg-muted"><relative-time datetime="2025-04-01T09:24:23Z" class="no-wrap">Apr 1, 2025</relative-time></div> </div> </a> <div data-view-component="true" class="mt-3"> <a text="small" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame" href="/milvus-io/milvus/releases" data-view-component="true" class="Link">+ 111 releases</a></div> </div> </div> <div class="BorderGrid-row" hidden> <div class="BorderGrid-cell"> <include-fragment src="/milvus-io/milvus/used_by_list" accept="text/fragment+html"> </include-fragment> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3"> <a href="/milvus-io/milvus/graphs/contributors" data-view-component="true" class="Link--primary no-underline Link d-flex flex-items-center">Contributors <span title="274" data-view-component="true" class="Counter ml-1">274</span></a></h2> <ul class="list-style-none d-flex flex-wrap mb-n2"> <li class="mb-2 mr-2" > <a href="https://github.com/congqixia" class="" data-hovercard-type="user" data-hovercard-url="/users/congqixia/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/84113973?s=64&v=4" alt="@congqixia" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/JinHai-CN" class="" data-hovercard-type="user" data-hovercard-url="/users/JinHai-CN/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/33142505?s=64&v=4" alt="@JinHai-CN" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/bigsheeper" class="" data-hovercard-type="user" data-hovercard-url="/users/bigsheeper/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/42060877?s=64&v=4" alt="@bigsheeper" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/cydrain" class="" data-hovercard-type="user" data-hovercard-url="/users/cydrain/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/3992404?s=64&v=4" alt="@cydrain" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/zhuwenxing" class="" data-hovercard-type="user" data-hovercard-url="/users/zhuwenxing/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/12268675?s=64&v=4" alt="@zhuwenxing" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/jeffoverflow" class="" data-hovercard-type="user" data-hovercard-url="/users/jeffoverflow/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/24581746?s=64&v=4" alt="@jeffoverflow" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/XuPeng-SH" class="" data-hovercard-type="user" data-hovercard-url="/users/XuPeng-SH/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/39627130?s=64&v=4" alt="@XuPeng-SH" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/yhmo" class="" data-hovercard-type="user" data-hovercard-url="/users/yhmo/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/2282099?s=64&v=4" alt="@yhmo" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/xiaocai2333" class="" data-hovercard-type="user" data-hovercard-url="/users/xiaocai2333/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/46207236?s=64&v=4" alt="@xiaocai2333" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/XuanYang-cn" class="" data-hovercard-type="user" data-hovercard-url="/users/XuanYang-cn/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/51370125?s=64&v=4" alt="@XuanYang-cn" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/longjiquan" class="" data-hovercard-type="user" data-hovercard-url="/users/longjiquan/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/31589260?s=64&v=4" alt="@longjiquan" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/fishpenguin" class="" data-hovercard-type="user" data-hovercard-url="/users/fishpenguin/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/49153041?s=64&v=4" alt="@fishpenguin" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/sre-ci-robot" class="" data-hovercard-type="user" data-hovercard-url="/users/sre-ci-robot/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/56469371?s=64&v=4" alt="@sre-ci-robot" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/xige-16" class="" data-hovercard-type="user" data-hovercard-url="/users/xige-16/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/20124155?s=64&v=4" alt="@xige-16" size="32" height="32" width="32" 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!important;;width: 0.8%;" itemprop="keywords" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#4298b8 !important;;width: 0.6%;" itemprop="keywords" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#DA3434 !important;;width: 0.2%;" itemprop="keywords" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#ededed !important;;width: 0.4%;" itemprop="keywords" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> </span></div> <ul class="list-style-none"> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/milvus-io/milvus/search?l=go" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#00ADD8;" aria-hidden="true" height="16" viewBox="0 0 16 16" 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