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<!DOCTYPE html><html lang="en"> <head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width"/><link rel="icon" href="/assets/favicon.ico"/><script defer="" data-domain="star-history.com" src="https://plausible.io/js/script.js"></script><meta name="next-head-count" content="4"/><link data-next-font="size-adjust" rel="preconnect" href="/" crossorigin="anonymous"/><link rel="preload" href="/_next/static/css/f94657194d4c857a.css" as="style" crossorigin=""/><link rel="stylesheet" href="/_next/static/css/f94657194d4c857a.css" crossorigin="" data-n-g=""/><noscript data-n-css=""></noscript><script defer="" crossorigin="" nomodule="" src="/_next/static/chunks/polyfills-c67a75d1b6f99dc8.js"></script><script src="/_next/static/chunks/webpack-38cee4c0e358b1a3.js" defer="" crossorigin=""></script><script src="/_next/static/chunks/framework-fda0a023b274c574.js" defer="" crossorigin=""></script><script src="/_next/static/chunks/main-001c9e19b1894c7d.js" defer="" crossorigin=""></script><script src="/_next/static/chunks/pages/_app-915effad870aa62e.js" defer="" crossorigin=""></script><script src="/_next/static/chunks/6c86d9ce-d8b7531786dd65a5.js" defer="" crossorigin=""></script><script src="/_next/static/chunks/472-8057db644de3d496.js" defer="" crossorigin=""></script><script src="/_next/static/chunks/590-d0a3c67c09cc0662.js" defer="" crossorigin=""></script><script src="/_next/static/chunks/pages/blog/%5Bslug%5D-7b378153203b51eb.js" defer="" crossorigin=""></script><script src="/_next/static/xKX4ZiOi_N7h3OBOEsSZu/_buildManifest.js" defer="" crossorigin=""></script><script src="/_next/static/xKX4ZiOi_N7h3OBOEsSZu/_ssgManifest.js" defer="" crossorigin=""></script></head><body><div id="__next"><div class="relative w-full h-auto min-h-screen overflow-auto flex flex-col"><title>Star History Monthly June 2024 | Open Source AI Searches</title><meta name="description" content="We present you with a few different open-source options that utilize AI to enhance our search experience and efficiency."/><meta property="og:type" content="website"/><meta property="og:url" content="https://star-history.com/blog/ai-search"/><meta property="og:title" content="Star History Monthly June 2024 | Open Source AI Searches"/><meta property="og:description" content="We present you with a few different open-source options that utilize AI to enhance our search experience and efficiency."/><meta property="og:image" content="https://star-history.com/assets/blog/ai-search/banner.webp"/><meta name="twitter:card" content="summary_large_image"/><meta name="twitter:url" content="https://star-history.com/blog/ai-search"/><meta name="twitter:title" content="Star History Monthly June 2024 | Open Source AI Searches"/><meta name="twitter:description" content="We present you with a few different open-source options that utilize AI to enhance our search experience and efficiency."/><meta name="twitter:image" content="https://star-history.com/assets/blog/ai-search/banner.webp"/><nav><div class="flex justify-center items-center gap-x-6 bg-green-600 px-6 py-1 sm:px-3.5 "><p class="text-sm leading-6 text-white"><a href="/blog/list-your-open-source-project">Want to promote your open source project? 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class="cursor-pointer" rel="noopener noreferrer" href="/blog/ai-devtools"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Nov (AI DevTools)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/homelab"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Oct (Homelab)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/ai-agents"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Sep (AI Agents)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/rag-frameworks"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Aug (RAG frameworks)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/ai-generators"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Jul (AI 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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 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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/ai-search/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">Star History Monthly June 2024 | Open Source AI Searches</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">Mila</span><span aria-hidden="true"> · </span><time dateTime="2024-06-28:00:00.000Z">Jun 28, 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>AI is transforming the search experience, making it more intelligent, personalized, and efficient for us.</p> <p>You might think, "but Google works well enough!" First of all, search relevance and personalisation comes at a price with Google, and what about searches across different media types for the most relevant information formats, or even automation of certain tasks, like <a href="https://star-history.com/blog/ai-web-scraper">crawling websites</a>, indexing content, and search engine optimization.</p> <p>For this edition, we present you with a few different open-source options that utilize AI to enhance our search experience and efficiency.</p> <ul> <li><a href="#marqo">Marqo</a></li> <li><a href="#txtai">txtai</a></li> <li><a href="#typesense">Typesense</a></li> <li><a href="#perplexika">Perplexika</a></li> <li><a href="#morphic">Morphic</a></li> </ul> <h2>Marqo</h2> <p><img src="/assets/blog/ai-search/marqo.webp" alt="marqo"></p> <p><a href="https://github.com/marqo-ai/marqo">Marqo</a> is an end-to-end vector search engine designed to enhance the relevance and efficiency of AI-driven search applications.. The platform can handle everything from vector generation to storage and retrieval, simplifying the process for developers by allowing them to select models and pass data directly to the API.</p> <p>Marqo uses tensor search, which allows neural networks to structure documents, images and other data in such a way that it can be searched with human-like understanding. This provides typo tolerance, natural language understanding and multi-modal functionality (such as image search) out of the box.</p> <p><img src="/assets/blog/ai-search/marqo-search.webp" alt="marqo-search"></p> <h2>txtai</h2> <p><img src="/assets/blog/ai-search/txtai.webp" alt="txtai"></p> <p><a href="https://github.com/neuml/txtai">txtai</a> is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows. It integrates vector indexes, graph networks, and relational databases, enabling advanced functionalities such as vector search with SQL, topic modeling, and retrieval augmented generation (RAG).</p> <p><img src="/assets/blog/ai-search/txtai-search.webp" alt="txtai-search"></p> <p>With txtai, you can conduct vector search with SQL, object storage, topic modeling, graph analysis and multimodal indexing; create embeddings for text, documents, audio, images and video; achieve pipelines powered by language models that run LLM prompts, question-answering, labeling, transcription, translation, summarization and more.</p> <h2>Typesense</h2> <p><img src="/assets/blog/ai-search/typesense.webp" alt="typesense"></p> <p><a href="https://github.com/typesense/typesense">Typesense</a> is a typo-tolerant search engine for building search experiences. You can think of it as an open-source alternative to <a href="https://typesense.org/typesense-vs-algolia-vs-elasticsearch-vs-meilisearch/">Algolia</a>. It debuted way back, long ago before AI was big.</p> <p>Now it already supports vector and semantic search, long-term memory for chat-based LLMs like ChatGPT. These features can be used together to make Chat LLMs respond to users' questions, and build conversational chat bots over your dataset.</p> <p><img src="/assets/blog/ai-search/typesense-site.webp" alt="typesense-site"></p> <h2>Perplexika</h2> <p><img src="/assets/blog/ai-search/perplexika.webp" alt="perplexika"></p> <p>This name is a deadringer of Perpleixity, the AI-powered search engine. And indeed <a href="https://github.com/ItzCrazyKns/Perplexica">Perplexika</a> is inspired by Perplexity AI.</p> <p><img src="/assets/blog/ai-search/perplexika-ui.webp" alt="perplexika-ui"></p> <p>It's an open-source option that not just does the searches but understands your questions. It uses advanced machine learning algorithms like similarity searching and embeddings to refine results and provides clear answers with sources cited.</p> <p>Side note: I recently started using Perplexity for searches and I must say, it's a whole new elevated experience without having to dig through ads and irrelevant information to find exactly what I need.</p> <h2>Morphic</h2> <p><img src="/assets/blog/ai-search/morphic.webp" alt="morphic"></p> <p><a href="https://github.com/miurla/morphic">Morphic</a> is another AI-powered search engine with a generative UI.</p> <p><img src="/assets/blog/ai-search/morphic-ui.webp" alt="morphic-ui"></p> <p>The UI is more simplistic than that of Perpleixika, but the features are pretty wholesome: you can log in, ask follow-up questions, search through your history.</p> <p>It is designed to be easily built and deployed, but if you are feeling lousy, you can also simply visit the official website <a href="https://morphic.sh/">morphic.sh</a> to get a taste of what it's like.</p> <h2>Lastly</h2> <p>Search and you shall find. But with AI-powered search, you shall find, learn, and discover. 🔍 Do you use AI-powered searches?</p> <p>📧 <em>Subscribe to our <a href="https://star-history.beehiiv.com/subscribe">weekly newsletter here</a>.</em></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 text-gray-600">The missing GitHub star history graph</div><a class="h-full flex flex-row justify-center items-center ml-3 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Searches","slug":"ai-search","author":"Mila","featured":true,"featureImage":"/assets/blog/ai-search/banner.webp","publishedDate":"2024-06-28:00:00.000Z","excerpt":"We present you with a few different open-source options that utilize AI to enhance our search experience and efficiency.","readingTime":3},"parsedBlogHTML":"\u003cp\u003eAI is transforming the search experience, making it more intelligent, personalized, and efficient for us.\u003c/p\u003e\n\u003cp\u003eYou might think, \u0026quot;but Google works well enough!\u0026quot; First of all, search relevance and personalisation comes at a price with Google, and what about searches across different media types for the most relevant information formats, or even automation of certain tasks, like \u003ca href=\"https://star-history.com/blog/ai-web-scraper\"\u003ecrawling websites\u003c/a\u003e, indexing content, and search engine optimization.\u003c/p\u003e\n\u003cp\u003eFor this edition, we present you with a few different open-source options that utilize AI to enhance our search experience and efficiency.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"#marqo\"\u003eMarqo\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#txtai\"\u003etxtai\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#typesense\"\u003eTypesense\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#perplexika\"\u003ePerplexika\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#morphic\"\u003eMorphic\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2\u003eMarqo\u003c/h2\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/ai-search/marqo.webp\" alt=\"marqo\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://github.com/marqo-ai/marqo\"\u003eMarqo\u003c/a\u003e is an end-to-end vector search engine designed to enhance the relevance and efficiency of AI-driven search applications.. The platform can handle everything from vector generation to storage and retrieval, simplifying the process for developers by allowing them to select models and pass data directly to the API.\u003c/p\u003e\n\u003cp\u003eMarqo uses tensor search, which allows neural networks to structure documents, images and other data in such a way that it can be searched with human-like understanding. This provides typo tolerance, natural language understanding and multi-modal functionality (such as image search) out of the box.\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/ai-search/marqo-search.webp\" alt=\"marqo-search\"\u003e\u003c/p\u003e\n\u003ch2\u003etxtai\u003c/h2\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/ai-search/txtai.webp\" alt=\"txtai\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://github.com/neuml/txtai\"\u003etxtai\u003c/a\u003e is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows. It integrates vector indexes, graph networks, and relational databases, enabling advanced functionalities such as vector search with SQL, topic modeling, and retrieval augmented generation (RAG).\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/ai-search/txtai-search.webp\" alt=\"txtai-search\"\u003e\u003c/p\u003e\n\u003cp\u003eWith txtai, you can conduct vector search with SQL, object storage, topic modeling, graph analysis and multimodal indexing; create embeddings for text, documents, audio, images and video; achieve pipelines powered by language models that run LLM prompts, question-answering, labeling, transcription, translation, summarization and more.\u003c/p\u003e\n\u003ch2\u003eTypesense\u003c/h2\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/ai-search/typesense.webp\" alt=\"typesense\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://github.com/typesense/typesense\"\u003eTypesense\u003c/a\u003e is a typo-tolerant search engine for building search experiences. You can think of it as an open-source alternative to \u003ca href=\"https://typesense.org/typesense-vs-algolia-vs-elasticsearch-vs-meilisearch/\"\u003eAlgolia\u003c/a\u003e. It debuted way back, long ago before AI was big.\u003c/p\u003e\n\u003cp\u003eNow it already supports vector and semantic search, long-term memory for chat-based LLMs like ChatGPT. These features can be used together to make Chat LLMs respond to users\u0026#39; questions, and build conversational chat bots over your dataset.\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/ai-search/typesense-site.webp\" alt=\"typesense-site\"\u003e\u003c/p\u003e\n\u003ch2\u003ePerplexika\u003c/h2\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/ai-search/perplexika.webp\" alt=\"perplexika\"\u003e\u003c/p\u003e\n\u003cp\u003eThis name is a deadringer of Perpleixity, the AI-powered search engine. And indeed \u003ca href=\"https://github.com/ItzCrazyKns/Perplexica\"\u003ePerplexika\u003c/a\u003e is inspired by Perplexity AI.\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/ai-search/perplexika-ui.webp\" alt=\"perplexika-ui\"\u003e\u003c/p\u003e\n\u003cp\u003eIt\u0026#39;s an open-source option that not just does the searches but understands your questions. It uses advanced machine learning algorithms like similarity searching and embeddings to refine results and provides clear answers with sources cited.\u003c/p\u003e\n\u003cp\u003eSide note: I recently started using Perplexity for searches and I must say, it\u0026#39;s a whole new elevated experience without having to dig through ads and irrelevant information to find exactly what I need.\u003c/p\u003e\n\u003ch2\u003eMorphic\u003c/h2\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/ai-search/morphic.webp\" alt=\"morphic\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://github.com/miurla/morphic\"\u003eMorphic\u003c/a\u003e is another AI-powered search engine with a generative UI.\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/ai-search/morphic-ui.webp\" alt=\"morphic-ui\"\u003e\u003c/p\u003e\n\u003cp\u003eThe UI is more simplistic than that of Perpleixika, but the features are pretty wholesome: you can log in, ask follow-up questions, search through your history.\u003c/p\u003e\n\u003cp\u003eIt is designed to be easily built and deployed, but if you are feeling lousy, you can also simply visit the official website \u003ca href=\"https://morphic.sh/\"\u003emorphic.sh\u003c/a\u003e to get a taste of what it\u0026#39;s like.\u003c/p\u003e\n\u003ch2\u003eLastly\u003c/h2\u003e\n\u003cp\u003eSearch and you shall find. But with AI-powered search, you shall find, learn, and discover. 🔍 Do you use AI-powered searches?\u003c/p\u003e\n\u003cp\u003e📧 \u003cem\u003eSubscribe to our \u003ca href=\"https://star-history.beehiiv.com/subscribe\"\u003eweekly newsletter here\u003c/a\u003e.\u003c/em\u003e\u003c/p\u003e\n"},"__N_SSG":true},"page":"/blog/[slug]","query":{"slug":"ai-search"},"buildId":"xKX4ZiOi_N7h3OBOEsSZu","isFallback":false,"gsp":true,"scriptLoader":[]}</script></body></html>