ObjectBox

Small is beautiful; sometimes size does matter #greencoding #sustainableIT #tiny #edge #local #ondevice #database

The future of AI is - literally - in our hands 👉 come and join Markus and my talk on "𝐓𝐡𝐞 𝐑𝐢𝐬𝐞 𝐨𝐟 𝐋𝐨𝐜𝐚𝐥 𝐀𝐈: 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐎𝐧-𝐃𝐞𝐯𝐢𝐜𝐞 𝐑𝐀𝐆 𝐀𝐩𝐩𝐬" at MLcon this Thursday in Berlin We’re diving into the potential of "Small Large Language Models" (SLMs) like Phi-3, Llama 3, and Gemma 2, and on-device vector databases, which make it feasible to run efficient, private, offline-first AI applications directly on mobile phones, IoT, embedded devices, and other commodity hardware. Markus J. will be showing how to build a local/on-device AI RAG app - hands-on! 📅 When: Thursday, 28th of November, 9 AM, 📍 Where: MLcon at Maritim proArte Hotel Berlin, Room: Salon 6 #LocalAI #EdgeAI #SmallLanguageModels #RAGApps #MLConference #vectordatabases

That's what we're about --> if you want to join the team & are in for highly performance-oriented challenges and the nitty-gritty of database-development.... Reach out: https://lnkd.in/e5AwkHnH #cpp

👩🏻🚀 Dr. Vivien Dollinger, CEO of ObjectBox, will be speaking about #EdgeAI at the upcoming MVP Factory #AI #Innovation Roundtable on the 28𝐭𝐡 𝐨𝐟 𝐍𝐨𝐯 𝐢𝐧 𝐁𝐞𝐫𝐥𝐢𝐧 This event is a fantastic opportunity to dive into the transformative potential of AI, alongside an incredible lineup of experts in the field: Barbara Lampl, Derya Firat, and Liesbeth Gericke. Together, we’ll explore AI in action. Beyond the talks, there will be plenty of time to network, exchange ideas, and connect over food and drinks. So, If you’re as passionate about AI as we are, let's come together, connect, and collaborate next week 😊 👉 Sign up via the link in the comment Philipp Petrescu, Bethany Singer, Carolina Poll, David Geffroy #vectordatabases #ondevicehashtag #RAG #genAI

Why out-of-the-box Data Sync solutions are more important than ever: https://lnkd.in/deJt2KkR

𝐀𝐈 + 𝐄𝐝𝐠𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 = enhanced privacy, faster response times, offline capabilities, and reduced costs & CO2 emissions 💚 However, local AI on the edge has its challenges: data storage, processing, and data synchronization in a decentralized setup and a highly fragmented device market... In our latest article, we explore Edge AI ( vs. Cloud AI), its benefits and challenges, and why the database choice is critical. Learn how databases are powering the next generation of Edge AI 👉 https://lnkd.in/eiRVg_AA #EdgeAI #localAI #datasync #vectorsearch #vectordatabase #IoT

Thrilled about our 𝐩𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩 𝐰𝐢𝐭𝐡 𝐌𝐨𝐧𝐠𝐨𝐃𝐁 - if you are looking to migrate from Realm Device Sync, check this out 👉 https://lnkd.in/e9BzMnd6 #EdgeComputing #EdgeAI #DataSync #vectordatabase #MongoDB

AI in cars must be personal, private, fast, and operate offline - essentially, Edge AI. ObjectBox is the first onboard vector database designed to enhance in-car AI functionalities, meeting these critical needs Great stats on AI in automotive from a recent MHP – A Porsche Company study: https://lnkd.in/ep4jyh6Z #EdgeAI #SLM #vectorsearch #vectordatabase #local #SDV #connectedcar #automotive

If you're looking to deploy local, private, on-premise AI, ObjectBox is the first- and still only - vector database for Mobile, IoT, and Embedded devices. It runs efficiently on everyday consumer and commodity hardware as well as in the cloud. https://lnkd.in/emBE4y6X #vectorsearch #vectordatabase #onpremise #Edge #AI

While there is some correlation to hardware... Edge Computing, and therefore Edge AI, really cannot be categorized by hardware - the core is the decentralized paradigm, the rest follows #edgecomputing #edgeai #decentralized #distributed #topology