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stroke-width="0.5"></path></g><defs><clipPath id="clip0_1804_386"><rect width="16" height="16" fill="white" transform="translate(0 0.5)"></rect></clipPath></defs></svg><svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 14 14" fill="none" class="transition-all"><g clip-path="url(#clip0_3441_107)"><path d="M1.85228 5.0569L7 10.2046L12.1477 5.0569" stroke="#667176" stroke-width="1.3" stroke-linecap="round" stroke-linejoin="round"></path></g><defs><clipPath id="clip0_3441_107"><rect width="14" height="14" fill="white" transform="matrix(1 0 0 -1 0 14)"></rect></clipPath></defs></svg></button><select aria-hidden="true" tabindex="-1" style="position:absolute;border:0;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0, 0, 0, 0);white-space:nowrap;word-wrap:normal"></select></div><button class="mobileHeader_menuIconBtn__TPfKx"><svg width="24" height="24" viewBox="0 0 24 24"><rect x="2" y="5" width="20" height="2" fill="black"></rect><rect x="2" y="11" width="20" height="2" fill="black"></rect><rect x="2" y="17" width="20" height="2" fill="black"></rect></svg></button></div></div></div></header><main><div class="useCase_casePageContainer__qXv3r"><div class="responsive_homeContainer__9_COi useCase_contentContainer__Fvu7X"><section class="useCase_headerSection___nEfJ"><style data-emotion="css 1lhzw4j">.css-1lhzw4j{margin:0;font-family:"Roboto","Helvetica","Arial",sans-serif;font-weight:300;font-size:3.75rem;line-height:1.2;letter-spacing:-0.00833em;}</style><h1 class="MuiTypography-root MuiTypography-h2 css-1lhzw4j">Use cases</h1><style data-emotion="css zq6grw">.css-zq6grw{margin:0;font-family:"Roboto","Helvetica","Arial",sans-serif;font-weight:400;font-size:1.5rem;line-height:1.334;letter-spacing:0em;}</style><p class="MuiTypography-root MuiTypography-h5 useCase_desc__rxRP9 css-zq6grw">Discover how Milvus helps enterprises build AI apps to drive their businesses</p></section><div class="useCase_listSection__STdTk"><div class="vbI XiG" role="list" style="height:0;width:100%"><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Roblox_4658150775.png" alt="Roblox"/><p class="index_desc__pTW7t">Roblox's platform team utilizes Milvus to support a variety of internal use cases, with the most significant being avatar search, leveraging Milvus' vector search capabilities to efficiently match users with avatar options, enhancing the customization and user experience on the platform.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Salesforce_40137ffdd2.png" alt="Salesforce"/><p class="index_desc__pTW7t">Salesforce's platform team uses Milvus to support a wide range of internal use cases, serving 100+ tenants with diverse applications and varying service levels, leveraging Milvus' vector search technology to enhance functionality and performance across their extensive ecosystem.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Otter_ai_ba5cdf1a08.png" alt="Otter.ai"/><p class="index_desc__pTW7t">Otter.ai leverages Milvus for Retrieval-Augmented Generation (RAG) to enhance Q&A functionality by efficiently sourcing and referencing relevant information from meeting transcripts, improving access to key insights and answers directly from recorded discussions.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Palo_Alto_36125876ea.png" alt="Palo Alto Networks"/><p class="index_desc__pTW7t">Palo Alto Networks utilizes Milvus for fraud detection, employing its vector search capabilities to analyze and identify patterns indicative of fraudulent activity, thereby enhancing the security and integrity of their networks and services.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Poshmark_1fe3a6898c.png" alt="Poshmark"/><p class="index_desc__pTW7t">Poshmark employs Milvus for product recommendation, utilizing vector search to analyze user behavior and preferences, efficiently matching buyers with relevant fashion items, thereby personalizing and enhancing the shopping experience.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Chegg_ccff399939.png" alt="Chegg"/><p class="index_desc__pTW7t">Chegg employs Milvus for storing document chunks and embeddings to enhance document search capabilities, powering the homework help chat feature on chegg.com, thereby streamlining access to educational resources and assistance.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Shell_7b1be7c22d.png" alt="Shell"/><p class="index_desc__pTW7t">Shell employs Milvus for multiple applications, primarily focusing on document search within a Retrieval-Augmented Generation (RAG) context, utilizing Milvus' vector search technology to enhance the accessibility and retrieval of documents in their vast corporate knowledge base.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Compass_8303f4197e.png" alt="Compass"/><p class="index_desc__pTW7t">Compass utilizes Milvus for custom search by vectorizing floorplans, enabling the search for homes beyond traditional keyword matches and enhancing the property discovery process with advanced spatial and feature-based queries.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/AT_and_T_5f98ed288a.png" alt="AT&T"/><p class="index_desc__pTW7t">AT&T leverages Milvus for document search, utilizing its vector search capabilities to fetch the most relevant semantic results for customers, significantly enhancing the accuracy and efficiency of information retrieval.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Tokopedia_3759e5f4f2.png" alt="Tokopedia"/><p class="index_desc__pTW7t">Tokopedia upgraded its product search and ranking by adopting Milvus for vector similarity search, enhancing semantic understanding and efficiency over Elasticsearch, resulting in a smarter, stable, and reliable Ads service with significantly improved click-through and conversion rates.</p><a target="_blank" rel="noopener noreferrer" href="https://zilliz.com/customers/tokopedia" class="index_linkButton__KW4cr index_startLinkButton__E86yC index_outlined__Ex5ga index_primaryColor__GTYfK index_mediumSize__QISKx">Learn More</a></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Mozart_3172e613d1.png" alt="Mozat"/><p class="index_desc__pTW7t">Mozat leverages Milvus for Stylepedia's image search system, utilizing its capability for real-time, large-scale vector similarity searches across billions of datasets for garment detection, feature extraction, and refined post-processing, enhancing user experiences with functions like searching for similar clothing items, outfit suggestions, and personalized fashion recommendations.</p><a target="_blank" rel="noopener noreferrer" href="https://zilliz.com/customers/mozat" class="index_linkButton__KW4cr index_startLinkButton__E86yC index_outlined__Ex5ga index_primaryColor__GTYfK index_mediumSize__QISKx">Learn More</a></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Line_1f4f187769.png" alt="Line"/><p class="index_desc__pTW7t">Line utilizes Milvus to power its user-generated content (UGC) recommendation engine, enabling personalized news and music suggestions based on users' existing preferences through advanced vector search technology.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Smart_News_57d3556c6c.png" alt="SmartNews"/><p class="index_desc__pTW7t">SmartNews leveraged Milvus for its high-throughput, low-latency vector similarity search capabilities to efficiently match users with relevant ads in real-time, significantly enhancing ad recommendation performance and scalability.</p><a target="_blank" rel="noopener noreferrer" href="https://zilliz.com/customers/smartnews" class="index_linkButton__KW4cr index_startLinkButton__E86yC index_outlined__Ex5ga index_primaryColor__GTYfK index_mediumSize__QISKx">Learn More</a></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Farfetch_3bcbfeba7b.png" alt="Farfetch"/><p class="index_desc__pTW7t">Farfetch employs Milvus as a vector database to support iFetch, its conversational AI for personalized shopping, by enabling real-time, accurate product recommendations through machine learning-generated product embeddings.</p><a target="_blank" rel="noopener noreferrer" href="https://zilliz.com/customers/farfetch" class="index_linkButton__KW4cr index_startLinkButton__E86yC index_outlined__Ex5ga index_primaryColor__GTYfK index_mediumSize__QISKx">Learn More</a></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Walmart_40b5bc5387.png" alt="Walmart"/><p class="index_desc__pTW7t">Walmart employs Milvus across multiple use cases, with its platform team leveraging the vector database to support various internal applications, including enhancing product search capabilities by efficiently matching consumer queries with relevant product listings through advanced vector search technology.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/IKEA_96f927f41d.png" alt="IKEA"/><p class="index_desc__pTW7t">IKEA utilizes Milvus for product recommendation, leveraging vector search technology to analyze customer preferences and match them with the most relevant products, enhancing the shopping experience through personalized suggestions.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/human_signal_logo_industry_40bdd39b22.png" alt="HumanSignal"/><p class="index_desc__pTW7t">HumanSignal, formerly Heartex, is a leading provider of AI data labeling solutions and is known for its open-source platform, Label Studio. It integrates Milvus into its Label Studio platform to enhance data discovery and labeling processes. Milvus's support for various indexing algorithms improves semantic search efficiency, enabling users to identify relevant data subsets swiftly. Deployed on AWS using Elastic Kubernetes Service (EKS), this integration ensures scalable and reliable data management, significantly boosting model accuracy and development speed. </p><a target="_blank" rel="noopener noreferrer" href="https://zilliz.com/customers/humansignal" class="index_linkButton__KW4cr index_startLinkButton__E86yC index_outlined__Ex5ga index_primaryColor__GTYfK index_mediumSize__QISKx">Learn More</a></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Omers_5c389f031b.png" alt="Omers"/><p class="index_desc__pTW7t">Omers' Data Science/Data Engineering team is utilizing Milvus to create a semantic search solution for financial documents, harnessing Milvus' vector database capabilities to efficiently index and query complex financial data for improved insight and retrieval.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Zip_Recruiter_1a65f98da3.png" alt="ZipRecruiter"/><p class="index_desc__pTW7t">ZipRecruiter leverages Milvus to enhance the recruitment process by embedding candidates and job opportunities in the same vector space, enabling efficient and accurate matching between job seekers and relevant positions.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Grab_9ea75a3242.png" alt="Grab"/><p class="index_desc__pTW7t">Grab employs Milvus for its food and restaurant recommendation system, utilizing vector search to analyze customer preferences and match them with relevant dining options, enhancing the user experience through personalized suggestions.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Shutterstock_52f5f9fcbf.png" alt="Shutterstock"/><p class="index_desc__pTW7t">Shutterstock enhances its "Search by image" feature by leveraging Milvus, enabling reverse image search capabilities that efficiently match user-uploaded images with similar content in their vast digital asset library.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Zigram_446f361d57.png" alt="Zigram"/><p class="index_desc__pTW7t">Zigram employs Milvus for fraud detection by comparing real-time transactions against a database of known fraudulent activities, utilizing vector search technology to quickly and accurately identify potential fraud, enhancing security and trust in their operations.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Ver_Se_c0e3df0901.png" alt="VerSe"/><p class="index_desc__pTW7t">VerSe employs Milvus to enhance its recommendation engine for short videos by utilizing vector search to align viewer preferences with relevant video content, thus improving user engagement through personalized content suggestions.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Bosch_561288270f.png" alt="Bosch"/><p class="index_desc__pTW7t">Bosch uses Towhee and Milvus to enhance its manufacturing process by detecting defects in images, leveraging the combined power of Towhee's data processing and Milvus' vector search capabilities for improved quality control.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/VIP_Shop_09647142d8.png" alt="VIPShop"/><p class="index_desc__pTW7t">VIPShop utilizes Milvus for its recommendation system, transforming product features and user behaviors into vector embeddings for fast, accurate similarity searches, outperforming traditional solutions with features like distributed deployment and multi-language SDKs.</p><a target="_blank" rel="noopener noreferrer" href="https://zilliz.com/customers/vipshop" class="index_linkButton__KW4cr index_startLinkButton__E86yC index_outlined__Ex5ga index_primaryColor__GTYfK index_mediumSize__QISKx">Learn More</a></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Shopee_7088b24b9e.png" alt="Shopee"/><p class="index_desc__pTW7t">Shopee employs Milvus to enhance its real-time search capabilities, particularly in video recall, copyright matching, and video deduplication systems, leveraging Milvus' ability to efficiently handle billions of vectors and scale with data volume, thereby improving user experience and maintaining content integrity.</p><a target="_blank" rel="noopener noreferrer" href="https://zilliz.com/customers/shopee" class="index_linkButton__KW4cr index_startLinkButton__E86yC index_outlined__Ex5ga index_primaryColor__GTYfK index_mediumSize__QISKx">Learn More</a></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Pay_Pal_7ccbff95f3.png" alt="PayPal"/><p class="index_desc__pTW7t">PayPal utilizes Milvus for its impressive performance and scalability in handling large-scale data and AI use cases, starting with a recommender system and expanding to a multilingual customer service chatbot</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Airbnb_4d31f42334.png" alt="Airbnb"/><p class="index_desc__pTW7t">Airbnb utilizes Milvus for its text-to-image search feature, enabling users to find rental listings by describing their desired features, such as "modernist building near the forest," through efficient vector search capabilities that match descriptive text with relevant property images.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Credal_47d34bce9c.png" alt="Credal AI"/><p class="index_desc__pTW7t">Credal AI deployed Milvus on Amazon EKS to power semantic search in GenAI-driven workflows, enabling scalable, real-time processing of large datasets across diverse hosting environments, including cloud and on-prem setups.</p><a target="_blank" rel="noopener noreferrer" href="https://zilliz.com/customers/credal-ai" class="index_linkButton__KW4cr index_startLinkButton__E86yC index_outlined__Ex5ga index_primaryColor__GTYfK index_mediumSize__QISKx">Learn More</a></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/landing_AI_logo_892c84c79d.svg" alt="Landing AI"/><p class="index_desc__pTW7t">Landing AI, founded by Andrew Ng, is a pioneer in Visual AI solutions, empowering industries to harness the full potential of visual data. By leveraging Milvus for image-based object detection, Landing AI enhances quality control in semiconductor manufacturing, specifically detecting disinfection in chip production processes. Using domain-specific Large Vision Models (LVMs) and Large Multimodal Models (LMMs), the platform ensures high accuracy and consistency in AI-driven inspections, transforming proof-of-concept AI projects into production-ready solutions.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Trend_Micro_8dbfdbe2af.png" alt="Trend Micro"/><p class="index_desc__pTW7t">TrendMicro adopted Milvus as a scalable, flexible vector search engine that overcame the limitations of MySQL and Faiss, enhancing APK security analysis with its advanced integration capabilities, intuitive API, and robust monitoring features, improving query performance and system scalability.</p><a target="_blank" rel="noopener noreferrer" href="https://zilliz.com/customers/trend-micro" class="index_linkButton__KW4cr index_startLinkButton__E86yC index_outlined__Ex5ga index_primaryColor__GTYfK index_mediumSize__QISKx">Learn More</a></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Sohu_b969e35a5d.png" alt="SOHU"/><p class="index_desc__pTW7t">Sohu uses Milvus for semantic searches, optimizing news recommendations and classification to boost user experience and content relevance.</p><a target="_blank" rel="noopener noreferrer" href="https://zilliz.com/customers/sohu" class="index_linkButton__KW4cr index_startLinkButton__E86yC index_outlined__Ex5ga index_primaryColor__GTYfK index_mediumSize__QISKx">Learn More</a></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Bigo_43170e6820.png" alt="Bigo"/><p class="index_desc__pTW7t">Bigo leverages Milvus for its efficient video deduplication system, enabling rapid similarity searches and high recall rates for its vast video content, significantly improving query throughput and operational efficiency by using Milvus' capabilities to handle and index large-scale vector data.</p><a target="_blank" rel="noopener noreferrer" href="https://zilliz.com/customers/bigo" class="index_linkButton__KW4cr index_startLinkButton__E86yC index_outlined__Ex5ga index_primaryColor__GTYfK index_mediumSize__QISKx">Learn More</a></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Deepset_1a44aa3b76.png" alt="Deepset"/><p class="index_desc__pTW7t">Deepset incorporates Milvus into their Haystack framework to boost semantic search capabilities. Milvus enhances data indexing and similarity searches, supporting dynamic data management and integrating with multiple Approximate Nearest Neighbours libraries.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/The_European_Patent_Office_f3061ec770.png" alt="The European Patent Office "/><p class="index_desc__pTW7t">The European Patent Office utilizes Milvus for patent search, leveraging its vector search capabilities to efficiently match queries with relevant patents, enhancing the precision and speed of patent retrieval and analysis.</p></div></div><div class="static" data-column-span="1" data-grid-item="true" role="listitem" style="top:0;left:0;transform:translateX(0px) translateY(0px);-webkit-transform:translateX(0px) translateY(0px);width:280px"><div class="index_cardContainer__C9yUl"><img src="https://assets.zilliz.com/Zomato_3857597bd2.png" alt="Zomato"/><p class="index_desc__pTW7t">Zomato utilizes Milvus for its restaurant search functionality, leveraging vector search to analyze and match user queries with the most relevant dining options, enhancing the discovery process for users looking for specific restaurant experiences.</p></div></div></div></div></div><section class="useCase_shareSection__UWatT"><div class="useCase_contentWrapper__Nz05G"><h2>Share Your Story with Us!</h2><p class="useCase_desc__rxRP9">Have you built something cool using Milvus or Zilliz Cloud? 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real-time, significantly enhancing ad recommendation performance and scalability.","link":"https://zilliz.com/customers/smartnews","cta_label":"Learn More","logo":"https://assets.zilliz.com/Smart_News_57d3556c6c.png"},{"id":8,"name":"Farfetch","description":"Farfetch employs Milvus as a vector database to support iFetch, its conversational AI for personalized shopping, by enabling real-time, accurate product recommendations through machine learning-generated product embeddings.","link":"https://zilliz.com/customers/farfetch","cta_label":"Learn More","logo":"https://assets.zilliz.com/Farfetch_3bcbfeba7b.png"},{"id":12,"name":"Walmart","description":"Walmart employs Milvus across multiple use cases, with its platform team leveraging the vector database to support various internal applications, including enhancing product search capabilities by efficiently matching consumer queries with relevant product listings through advanced vector search technology.","link":null,"cta_label":"Learn 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restaurant recommendation system, utilizing vector search to analyze customer preferences and match them with relevant dining options, enhancing the user experience through personalized suggestions.","link":null,"cta_label":"Learn More","logo":"https://assets.zilliz.com/Grab_9ea75a3242.png"},{"id":27,"name":"Shutterstock","description":"Shutterstock enhances its \"Search by image\" feature by leveraging Milvus, enabling reverse image search capabilities that efficiently match user-uploaded images with similar content in their vast digital asset library.","link":null,"cta_label":"Learn More","logo":"https://assets.zilliz.com/Shutterstock_52f5f9fcbf.png"},{"id":34,"name":"Zigram","description":"Zigram employs Milvus for fraud detection by comparing real-time transactions against a database of known fraudulent activities, utilizing vector search technology to quickly and accurately identify potential fraud, enhancing security and trust in their operations.","link":null,"cta_label":"Learn 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outperforming traditional solutions with features like distributed deployment and multi-language SDKs.","link":"https://zilliz.com/customers/vipshop","cta_label":"Learn More","logo":"https://assets.zilliz.com/VIP_Shop_09647142d8.png"},{"id":4,"name":"Shopee","description":"Shopee employs Milvus to enhance its real-time search capabilities, particularly in video recall, copyright matching, and video deduplication systems, leveraging Milvus' ability to efficiently handle billions of vectors and scale with data volume, thereby improving user experience and maintaining content integrity.","link":"https://zilliz.com/customers/shopee","cta_label":"Learn More","logo":"https://assets.zilliz.com/Shopee_7088b24b9e.png"},{"id":7,"name":"PayPal","description":"PayPal utilizes Milvus for its impressive performance and scalability in handling large-scale data and AI use cases, starting with a recommender system and expanding to a multilingual customer service chatbot","link":null,"cta_label":"Learn 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solutions, empowering industries to harness the full potential of visual data. By leveraging Milvus for image-based object detection, Landing AI enhances quality control in semiconductor manufacturing, specifically detecting disinfection in chip production processes. Using domain-specific Large Vision Models (LVMs) and Large Multimodal Models (LMMs), the platform ensures high accuracy and consistency in AI-driven inspections, transforming proof-of-concept AI projects into production-ready solutions.","link":null,"cta_label":"Learn More","logo":"https://assets.zilliz.com/landing_AI_logo_892c84c79d.svg"},{"id":15,"name":"Trend Micro","description":"TrendMicro adopted Milvus as a scalable, flexible vector search engine that overcame the limitations of MySQL and Faiss, enhancing APK security analysis with its advanced integration capabilities, intuitive API, and robust monitoring features, improving query performance and system scalability.","link":"https://zilliz.com/customers/trend-micro","cta_label":"Learn More","logo":"https://assets.zilliz.com/Trend_Micro_8dbfdbe2af.png"},{"id":1,"name":"SOHU","description":"Sohu uses Milvus for semantic searches, optimizing news recommendations and classification to boost user experience and content relevance.","link":"https://zilliz.com/customers/sohu","cta_label":"Learn More","logo":"https://assets.zilliz.com/Sohu_b969e35a5d.png"},{"id":17,"name":"Bigo","description":"Bigo leverages Milvus for its efficient video deduplication system, enabling rapid similarity searches and high recall rates for its vast video content, significantly improving query throughput and operational efficiency by using Milvus' capabilities to handle and index large-scale vector data.","link":"https://zilliz.com/customers/bigo","cta_label":"Learn More","logo":"https://assets.zilliz.com/Bigo_43170e6820.png"},{"id":18,"name":"Deepset","description":"Deepset incorporates Milvus into their Haystack framework to boost semantic search capabilities. Milvus enhances data indexing and similarity searches, supporting dynamic data management and integrating with multiple Approximate Nearest Neighbours libraries.","link":null,"cta_label":"Learn More","logo":"https://assets.zilliz.com/Deepset_1a44aa3b76.png"},{"id":22,"name":"The European Patent Office ","description":"The European Patent Office utilizes Milvus for patent search, leveraging its vector search capabilities to efficiently match queries with relevant patents, enhancing the precision and speed of patent retrieval and analysis.","link":null,"cta_label":"Learn More","logo":"https://assets.zilliz.com/The_European_Patent_Office_f3061ec770.png"},{"id":29,"name":"Zomato","description":"Zomato utilizes Milvus for its restaurant search functionality, leveraging vector search to analyze and match user queries with the most relevant dining options, enhancing the discovery process for users looking for specific restaurant experiences.","link":null,"cta_label":"Learn More","logo":"https://assets.zilliz.com/Zomato_3857597bd2.png"}]},"__N_SSG":true},"page":"/use-cases","query":{},"buildId":"eQCIA0qfrt_ghjoV-jwzQ","isFallback":false,"gsp":true,"scriptLoader":[]}</script></body></html>