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Effective URL: https://www.mongodb.com/webinar/emea-harnessing-the-power-of-vectors-and-ai-to-build-the-next-generation-of-intelligent-...
Submission: On January 08 via manual from TR — Scanned from DE
Effective URL: https://www.mongodb.com/webinar/emea-harnessing-the-power-of-vectors-and-ai-to-build-the-next-generation-of-intelligent-...
Submission: On January 08 via manual from TR — Scanned from DE
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New {New} Announcing MongoDB Atlas Vector Search and Dedicated Search Nodes for genAI use cases General Information * General Information * All Documentation * Realm Documentation * Developer Articles & Topics * Community Forums * Blog * University * Products Platform AtlasBuild on a developer data platform Platform Services DatabaseDeploy a multi-cloud databaseSearchDeliver engaging search experiencesVector SearchDesign intelligent apps with GenAIStream Processing (Preview)Unify data in motion and data at rest Tools CompassWork with MongoDB data in a GUIIntegrationsIntegrations with third-party servicesRelational MigratorMigrate to MongoDB with confidence Self Managed Enterprise AdvancedRun and manage MongoDB yourselfCommunity EditionDevelop locally with MongoDB Build with MongoDB Atlas Get started for free in minutes Sign Up Test Enterprise Advanced Develop with MongoDB on-premises Download Try Community Edition Explore the latest version of MongoDB Download * Resources Documentation Atlas DocumentationGet started using AtlasServer DocumentationLearn to use MongoDBStart With GuidesGet step-by-step guidance for key tasks Tools and ConnectorsLearn how to connect to MongoDBMongoDB DriversUse drivers and libraries for MongoDB AI Resources HubGet help building the next big thing in AI with MongoDBarrow-right Connect Developer CenterExplore a wide range of developer resourcesCommunityJoin a global community of developersCourses and CertificationLearn for free from MongoDBWebinars and EventsFind a webinar or event near you * Solutions Use cases Artificial IntelligenceEdge ComputingInternet of ThingsMobilePaymentsServerless Development Industries Financial ServicesTelecommunicationsHealthcareRetailPublic SectorManufacturing Solutions LibraryOrganized and tailored solutions to kick-start projectsarrow-right Developer Data Platform Accelerate innovation at scale Learn morearrow-right Startups and AI Innovators For world-changing ideas and AI pioneers Learn morearrow-right Customer Case Studies Hear directly from our users See Storiesarrow-right * Company CareersStart your next adventureBlogRead articles and announcementsNewsroomRead press releases and news stories PartnersLearn about our partner ecosystemLeadershipMeet our executive teamCompanyLearn more about who we are Contact Us Reach out to MongoDB Let’s chatarrow-right Investors Visit our investor portal Learn morearrow-right * Pricing SupportSign In Try Free menu-vertical Webinar EMEA: HARNESSING THE POWER OF VECTORS AND AI TO BUILD THE NEXT GENERATION OF INTELLIGENT APPS Register Now JANUARY 08, 2024 1 P.M. GMT A new wave of AI has emerged, changing the way businesses use internal and external data in existing workflows. The combination of Large Language Models (LLMs) and Embedding Models (models that can create high dimensional vectors from unstructured data) now enable you to make sense of data of any type. With >80% of information being unstructured (think text, documents, images, video files, etc.), search is moving beyond just the keyword, with vector embeddings helping to contextualize all of this data, even when your end users might not know what they’re looking for. So how can your business utilize vector search and the power of LLMs to extend your own corporate knowledge set and increase relevant results? Join our webinar featuring Stephen O’Grady, Principal Analyst & Co-founder at RedMonk and Benjamin Flast, Product Management Lead at MongoDB for a discussion on these tectonic trends, including: * What Vector Search is and how AI plays a role in making sense of unstructured data. * How to create vector embeddings to increase relevance by harnessing the power of LLMs. * Various approaches to storing and retrieving vectors. * Real world examples of vector use cases, AI integrations, and results. REGISTER NOW Submit © 2024 MongoDB, Inc. - Mongo, MongoDB, and the MongoDB leaf logo are registered trademarks of MongoDB, Inc. | Legal Notices PRIVACY PREFERENCE CENTER "Cookies" are small files that enable us to store information while you visit one of our websites. When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. 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