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class="inline -ml-2 text-sm text-blue-700 hover:underline">2023</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-yearly-pick-2022-data-infra-devtools"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2022 Data, Infra & DevTools</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-open-source-2022-platform-engineering"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2022 Platform Engineering</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-open-source-2022-open-source-alternatives"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2022 OSS Alternatives</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-yearly-pick-2022-frontend"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2022 Front-end</span></a></li></ul></div><div><div class="w-full flex flex-row justify-between items-center my-2"><h3 class="text-sm font-medium text-gray-400 leading-6">Starlet List</h3></div><ul class="list-disc list-inside"><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/list-your-open-source-project"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">🎁 Prompt yours for FREE</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/trench"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #28 - Trench</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/langfuse"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #27 - langfuse</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/thepipe"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #26 - thepi.pe</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/taipy"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #25 - Taipy</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/superlinked"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #24 - Superlinked</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/tea-tasting"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #23 - tea-tasting</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/giskard"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #22 - Giskard</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/khoj"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #21 - Khoj</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/paradedb"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #20 - ParadeDB</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/skyvern"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #19 - Skyvern</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/prisma"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #18 - Prisma</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/spicedb"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #17 - SpiceDB</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/answer"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #16 - Apache Answer</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/infinity"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #15 - Infinity</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/proton"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #14 - Proton</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/earthly"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #13 - Earthly</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/wasp"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #12 - Wasp</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/libsql"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #11 - libSQL</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/postgresml"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #10 - PostgresML</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/electricsql"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #9 - ElectricSQL</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/prompt-flow"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #8 - Prompt flow</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/clipboard"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #7 - Clipboard</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/hoppscotch"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #6 - Hoppscotch</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/metisfl"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #5 - MetisFL</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/chatgpt-js"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #4 - chatgpt.js</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/mockoon"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #3 - Mockoon</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/dlta-ai"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #2 - DLTA-AI</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/sniffnet"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #1 - Sniffnet</span></a></li></ul></div></div></div><div class="w-full flex flex-col justify-start items-center"><div class="w-full p-4 md:p-0 mt-6 md:w-5/6 lg:max-w-6xl h-full flex flex-col justify-start items-center self-center"><img class="hidden md:block w-auto max-w-full object-scale-down" src="/assets/blog/superlinked/banner.webp" alt=""/><div class="w-auto max-w-6xl mt-4 md:mt-12 prose prose-indigo prose-xl md:prose-2xl flex flex-col justify-center items-center"><h1 class="leading-16">Starlet #24 Superlinked: Unlock the Power of GenAI Applications in Production</h1></div><div class="w-full mt-8 mb-2 max-w-6xl px-2 flex flex-row items-center justify-center text-sm text-gray-900 font-semibold trackingwide uppercase"><div class="flex space-x-1 text-gray-500"><span class="text-gray-900">Ben Gutkovich</span><span aria-hidden="true"> · </span><time dateTime="2024-09-04:00:00.000Z">Sep 4, 2024</time><span aria-hidden="true"> · </span><span> 3 min read </span></div></div><div class="mt-8 w-full max-w-5xl prose prose-indigo prose-xl md:prose-2xl"><p><em>This is the twenty-fourth issue of The Starlet List. If you want to prompt your open source project on star-history.com for free, please check out our <a href="/blog/list-your-open-source-project">announcement</a>.</em></p> <hr> <p><a href="https://www.superlinked.com/?utm_source=StarHistory&utm_medium=referral&utm_campaign=Starlet_AUG_2024"><strong>Superlinked</strong></a> is an open-source vector compute framework for your information retrieval and feature engineering systems, focused on turning complex (structured+unstructured) data into ultra-modal vector embeddings within your RAG, Search, Recommendations and Analytics stack. Integrate Superlinked into your machine learning stack to achieve custom model performance with pre-trained model convenience.</p> <p><img src="/assets/blog/superlinked/example_query.webp" alt="Example query requiring structured and unstructured data"></p> <h2>The Challenge of Structured Data in GenAI Applications</h2> <p>Structured data is the backbone of most internal and customer-facing enterprise systems. Consider a Q&A chatbot of a financial analyst - we would expect it to understand that the analyst refers to “recent” or “at risk” reports from a particular range of dates, or a recommender system of an e-commerce store - we would expect it to recommend similarly priced or popular products to the product that the customer is currently viewing, in real-time. Unfortunately, traditional GenAI models struggle with numbers, timestamps and categorical data - let alone more complex data structures like time series or graphs. Their strength lies in processing and understanding certain types of unstructured data like text and images, but they falter with structured data, treating important attributes of the data, such as product prices, document dates, store locations, and content categories as if they were merely text. This mismatch often leads to tech teams discovering that their applications deliver subpar results.</p> <p>In response, many teams attempt to develop and train custom re-ranking models tailored to their specific needs. However, this is a daunting task, which requires significant expertise, time, and resources—luxuries that many enterprises cannot afford. Consequently, most GenAI-powered solutions remain stuck in the proof of concept phase, unable to realize their full potential.</p> <h2>Superlinked: Bridging the Gap Between Structured and Unstructured Data</h2> <p>Superlinked’s vector compute <a href="https://github.com/superlinked/superlinked">framework</a> is a game-changer for data science teams. It enables the creation of custom vector embeddings that seamlessly integrate structured and unstructured data into the same vector space. This unique approach allows enterprises to use vector search to deliver results that take into account both data types, effectively tailoring GenAI models to their specific use cases. The result combines the high-quality performance of a custom model with the convenience of pre-trained GenAI models, offering a significant boost in time-to-market and explainability of the results.</p> <p><img src="/assets/blog/superlinked/superlinked_framework.webp" alt="Overview of superlinked framework"></p> <h2>Take your GenAI Apps from POCs to Production with Superlinked</h2> <p>Developing your GenAI applications with Superlinked you’ll be able to:</p> <ul> <li><strong>Build & launch faster:</strong> From notebook to production in a week with a single declarative framework</li> <li><strong>4 use-cases, 1 solution:</strong> Use one solution for consistent results in RAG, RecSys, Search & Analytics w/o work & compute duplication</li> <li><strong>Improve retrieval quality:</strong> Use more data to boost relevance and multi-encoder approach for improved control and explainability</li> <li><strong>Improve efficiency & cost:</strong> Switch Vector DBs without changing your application code, manage streaming & batch updates in a unified solution with partial vector updates</li> </ul> <h2>Getting Started with Superlinked</h2> <p>Start by exploring Superlinked’s <a href="https://github.com/superlinked/superlinked?tab=readme-ov-file#use-cases">example notebooks</a> to get yourself familiar with the framework, and check out the deployable <a href="https://github.com/superlinked/superlinked/tree/main/server">Server</a> solution that comes with native integrations to Redis Vector Search and MongoDB Atlas.</p> <p>New to vector search? Learn more about building high-performance vector-powered applications at <a href="https://superlinked.com/vectorhub/">VectorHub</a> - a free and community-run learning hub for people interested in adding vector retrieval to their ML stack.</p> <p>Don’t hesitate getting in touch with us by e-mail: contact (at) superlinked.com.</p> </div></div><div class="mt-12"><iframe src="https://embeds.beehiiv.com/2803dbaa-d8dd-4486-8880-4b843f3a7da6?slim=true" data-test-id="beehiiv-embed" height="52" frameBorder="0" scrolling="no" style="margin:0;border-radius:0px !important;background-color:transparent"></iframe></div></div><div class="w-full hidden lg:block"></div></div><footer class="relative w-full shrink-0 h-auto mt-6 flex flex-col justify-end items-center"><div class="w-full py-2 px-3 md:w-5/6 lg:max-w-7xl flex flex-row flex-wrap justify-between items-center text-neutral-700 border-t"><div class="text-sm leading-8 flex flex-row flex-wrap justify-start items-center"><div class="h-full 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Production","slug":"superlinked","author":"Ben Gutkovich","featured":true,"featureImage":"/assets/blog/superlinked/banner.webp","publishedDate":"2024-09-04:00:00.000Z","excerpt":"Superlinked is a compute framework for building Search, RAG, Recommendations and Analytics over complex data, with ultra-modal vector embeddings.","readingTime":3},"parsedBlogHTML":"\u003cp\u003e\u003cem\u003eThis is the twenty-fourth issue of The Starlet List. If you want to prompt your open source project on star-history.com for free, please check out our \u003ca href=\"/blog/list-your-open-source-project\"\u003eannouncement\u003c/a\u003e.\u003c/em\u003e\u003c/p\u003e\n\u003chr\u003e\n\u003cp\u003e\u003ca href=\"https://www.superlinked.com/?utm_source=StarHistory\u0026utm_medium=referral\u0026utm_campaign=Starlet_AUG_2024\"\u003e\u003cstrong\u003eSuperlinked\u003c/strong\u003e\u003c/a\u003e is an open-source vector compute framework for your information retrieval and feature engineering systems, focused on turning complex (structured+unstructured) data into ultra-modal vector embeddings within your RAG, Search, Recommendations and Analytics stack. Integrate Superlinked into your machine learning stack to achieve custom model performance with pre-trained model convenience.\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/superlinked/example_query.webp\" alt=\"Example query requiring structured and unstructured data\"\u003e\u003c/p\u003e\n\u003ch2\u003eThe Challenge of Structured Data in GenAI Applications\u003c/h2\u003e\n\u003cp\u003eStructured data is the backbone of most internal and customer-facing enterprise systems. Consider a Q\u0026amp;A chatbot of a financial analyst - we would expect it to understand that the analyst refers to “recent” or “at risk” reports from a particular range of dates, or a recommender system of an e-commerce store - we would expect it to recommend similarly priced or popular products to the product that the customer is currently viewing, in real-time. Unfortunately, traditional GenAI models struggle with numbers, timestamps and categorical data - let alone more complex data structures like time series or graphs. Their strength lies in processing and understanding certain types of unstructured data like text and images, but they falter with structured data, treating important attributes of the data, such as product prices, document dates, store locations, and content categories as if they were merely text. This mismatch often leads to tech teams discovering that their applications deliver subpar results.\u003c/p\u003e\n\u003cp\u003eIn response, many teams attempt to develop and train custom re-ranking models tailored to their specific needs. However, this is a daunting task, which requires significant expertise, time, and resources—luxuries that many enterprises cannot afford. Consequently, most GenAI-powered solutions remain stuck in the proof of concept phase, unable to realize their full potential.\u003c/p\u003e\n\u003ch2\u003eSuperlinked: Bridging the Gap Between Structured and Unstructured Data\u003c/h2\u003e\n\u003cp\u003eSuperlinked’s vector compute \u003ca href=\"https://github.com/superlinked/superlinked\"\u003eframework\u003c/a\u003e is a game-changer for data science teams. It enables the creation of custom vector embeddings that seamlessly integrate structured and unstructured data into the same vector space. This unique approach allows enterprises to use vector search to deliver results that take into account both data types, effectively tailoring GenAI models to their specific use cases. The result combines the high-quality performance of a custom model with the convenience of pre-trained GenAI models, offering a significant boost in time-to-market and explainability of the results.\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/superlinked/superlinked_framework.webp\" alt=\"Overview of superlinked framework\"\u003e\u003c/p\u003e\n\u003ch2\u003eTake your GenAI Apps from POCs to Production with Superlinked\u003c/h2\u003e\n\u003cp\u003eDeveloping your GenAI applications with Superlinked you’ll be able to:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBuild \u0026amp; launch faster:\u003c/strong\u003e From notebook to production in a week with a single declarative framework\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e4 use-cases, 1 solution:\u003c/strong\u003e Use one solution for consistent results in RAG, RecSys, Search \u0026amp; Analytics w/o work \u0026amp; compute duplication\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eImprove retrieval quality:\u003c/strong\u003e Use more data to boost relevance and multi-encoder approach for improved control and explainability\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eImprove efficiency \u0026amp; cost:\u003c/strong\u003e Switch Vector DBs without changing your application code, manage streaming \u0026amp; batch updates in a unified solution with partial vector updates\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2\u003eGetting Started with Superlinked\u003c/h2\u003e\n\u003cp\u003eStart by exploring Superlinked’s \u003ca href=\"https://github.com/superlinked/superlinked?tab=readme-ov-file#use-cases\"\u003eexample notebooks\u003c/a\u003e to get yourself familiar with the framework, and check out the deployable \u003ca href=\"https://github.com/superlinked/superlinked/tree/main/server\"\u003eServer\u003c/a\u003e solution that comes with native integrations to Redis Vector Search and MongoDB Atlas.\u003c/p\u003e\n\u003cp\u003eNew to vector search? Learn more about building high-performance vector-powered applications at \u003ca href=\"https://superlinked.com/vectorhub/\"\u003eVectorHub\u003c/a\u003e - a free and community-run learning hub for people interested in adding vector retrieval to their ML stack.\u003c/p\u003e\n\u003cp\u003eDon’t hesitate getting in touch with us by e-mail: contact (at) superlinked.com.\u003c/p\u003e\n"},"__N_SSG":true},"page":"/blog/[slug]","query":{"slug":"superlinked"},"buildId":"3PucPEiDqBQs0A7faRZkR","isFallback":false,"gsp":true,"scriptLoader":[]}</script></body></html>