Omnisearch
Qu'est-ce que Omnisearch ?
Omnisearch est un produit de recherche innovant qui vous permet de rendre tout le contenu de votre site consultable, y compris l'audio/la vidéo, le texte, les documents et les présentations. Il offre une expérience d'apprentissage fluide en améliorant la satisfaction des utilisateurs et en augmentant les revenus de vos cours en ligne.
Comment utiliser Omnisearch ?
Pour utiliser Omnisearch, installez simplement l'application sur vos cours Thinkific et sélectionnez les données que vous souhaitez ingérer. Ensuite, Omnisearch traitera et indexera le contenu. Une fois le contenu indexé, vous pouvez rechercher des termes spécifiques et Omnisearch vous montrera où ces termes se trouvent dans votre contenu.
Fonctionnalités de base de Omnisearch
Recherche tous types de contenu, y compris l'audio/la vidéo, le texte, les documents et les présentations
Prise en charge de différents types de fichiers, tels que les PDF, les documents Word, les images, les fichiers audio, etc.
Technologie d'apprentissage automatique alimentée par l'IA pour l'extraction de contenu
Permet la transcription des enregistrements vidéo en sous-titres
Intégration transparente avec Thinkific pour rendre le contenu des cours entièrement consultable
Processus d'installation rapide et facile
Prise en charge de plusieurs langues
Les cas d'utilisation de Omnisearch
Améliorer l'expérience et la satisfaction des utilisateurs dans les cours en ligne
Améliorer la fonctionnalité de recherche pour les bases de données et les centres éducatifs
Permettre une navigation rapide et une recherche par mots-clés dans le contenu vidéo
Faciliter la recherche par mots-clés et les références dans la documentation détaillée ou les supports de cours
FAQ de Omnisearch
Quels types de contenu peuvent être recherchés avec Omnisearch?
Combien de temps faut-il pour implémenter Omnisearch?
Puis-je transcrire les enregistrements vidéo en sous-titres à l'aide d'Omnisearch?
Quelles langues Omnisearch prend-il en charge?
Puis-je rendre le contenu de mon cours entièrement consultable sur Thinkific?
Omnisearch E-mail d'assistance, contact du service client et contact de remboursement, etc.
Plus de contacts, visitez la page Contactez-nous(https://omnisearch.ai/contact-us)
Société Omnisearch
Omnisearch Nom de l'entreprise : Stratosphere Technologies Inc. .
Pour en savoir plus sur Omnisearch, veuillez visiter la la page À propos de nous(https://omnisearch.ai/about-us) .
Omnisearch Tarifs
Lien de tarification Omnisearch : https://omnisearch.ai/pricing
Omnisearch Facebook
Lien de Facebook Omnisearch : https://www.facebook.com/omnisearchai/
Omnisearch Youtube
Lien de Youtube Omnisearch : https://www.youtube.com/@omnisearch1954
Omnisearch Linkedin
Lien de Linkedin Omnisearch : https://www.linkedin.com/company/omnisearch/?originalSubdomain=ca
Omnisearch Twitter
Lien de Twitter Omnisearch : https://twitter.com/WeAreOmnisearch
Omnisearch Avis (0)
Analyse de Omnisearch
Omnisearch Analyse du trafic du site Web
Trafic géographique
Top 4 Régions
Omnisearch Lancer les intégrations
Utilisez les badges de site web pour obtenir le soutien de votre communauté lors du lancement de Toolify. Ils sont faciles à intégrer à votre page d'accueil ou à votre pied de page.
Alternative à Omnisearch
Écoute des médias sociaux
Erik Banek talks Machine Learning, European vs. USA tech, and pursuing a freelance career in AI
Erik Banek, software engineer ex-Google ex-Microblink, talks about working in the United States and Europe at major tech companies, and starting off his career as a freelance Machine Learning Engineer focusing on the medical and e-commerce industries. Powered by omnisearch.ai
Tena Turčinović Barukčić empowers her marketing team with AI with these top tips
Tena Turčinović Barukčić shares her experiences leading marketing teams and projects in Croatia, and how she incorporates AI in her daily workflow to build a stronger team. Check out the blog on https://omnisearch.ai/blog/empower-your-marketing-with-ai with more tips and tricks.
E44: Omnisearch: Building the Future of Search and More
In this episode, Marin Smiljanic, the CEO and co-founder of Omnisearch, discusses his vision of revolutionizing search beyond text-based engines, including audio, video, and documents. The conversation covers the evolution of Amazon, the future of search engines, and challenges in the Chinese tech scene. The episode also delves into theoretical discussions within the Matrix prequel, exploring robot rights movements, human control, and Omnisearch's journey in the B2B space. Marin Smiljanic is the Co-Founder and CEO of Omnisearch, leading a dynamic career in technology and entrepreneurship. With experiences ranging from being a Software Development Engineer at Amazon, where he contributed to projects like Alexa's email feature, to founding QuickNews and QN Technologies, Marin's journey reflects his commitment to innovation and software engineering expertise. Here are a few of the topics we’ll discuss on this episode of Cache Flow: - Unlike other search vendors, Omnisearch aims to provide a holistic solution, allowing customers to handle all their search needs in one place. - S3's underlying architecture from 2006 is still largely in place today. - Move fast and break things was retired at Facebook, and replaced with move fast and ship working software. - B2B vs B2C: B2B products can have bigger success if tailored to customer needs. - WeChat's success in China might be due to centralized data tracking instead of separate companies. - The concept of consciousness in technology is complex and debatable. - The robots turn to harvesting humans for energy, setting the stage for the Matrix movie. Resources: Omnisearch - https://omnisearch.ai/ QN Technologies - www.quicknews.ai Curotec – https://www.curotec.com/ Algolia - https://www.algolia.com/ WeChat - https://www.wechat.com/es/ Elastic - https://www.elastic.co/es/ Connect with Marin Smiljanic: LinkedIn - https://www.linkedin.com/in/marin-smiljanic/ Connect with our host, Brian Dainis: Linktree – https://linktr.ee/cacheflow Quotables: 14:05 - “I would say that what is good there, and that's kind of an extreme case of what you'll sometimes see in big tech, is you really get to witness a masterclass of distributed systems, scalability, all these, important concepts that back when we were taking distributed systems in college, the examples there would've been like, simple client-server architectures or something that at most had a couple of machines, then you go to S3 and that's like hundreds of thousands of machines. So definitely your intuitions about this, your ways of reasoning about systems. They change very fundamentally, in ways that you couldn't do in smaller companies.” 15:18 - “The downside of S3, you alluded to this, it's a very mature product, which means there's no cowboy-ish approach. There's no major incentive, I would even say to ship it super fast. Rather, it's like, don't break first order of business, don't break things. So that can be a little bit frustrating when you're a young eager beaver and want to ship things, get things into production as soon as you can. And then it's like, ah, but did you think of this angle? And then you have got to think about that angle. So it, it helps with discipline, but maybe it's not the most exciting part.” 57:27 - “So getting the lead to the CEO and then the CEO getting that customer to sign up and the CEO's onboarding that customer. That's like, I think in early days, like when the CEO, the Founder, when it's like a five-person team or a two-person team or whatever. That's, I think, the way that it needs to be done. So that you can actually get that real-time feedback from customers like, oh, this feature doesn't work, or I hate this or I need this. And that's like, if you start to see a theme emerge from first customer, second customer, third customer saying the same things and it's obvious that you need to fix that because you're talking to them and they're giving you that info, but the feedback cycle might be like so much longer or not even there if you're trying to do PLG too early.” 26:38 - “I'm involved in another company that did that just like did an acquisition and they acquired asset was monetized on ads. But the way that the company's going to monetize that asset is through like a B2B sales channel, not ads, but selling… Basically like a data product and the monetization is 100x or it's more than 10x. The traffic is monetized. It might not be 100x, but it's like more than 10x for sure.”
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