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tags: [Edge AI, Vector Database, Data Sync, Offline-First, On-Device AI]
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importHeadfrom'@docusaurus/Head';
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# How On-Device Vector Databases with Sync Are Revolutionizing Field Services
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Imagine a technician in a remote, offline wind turbine, faced with an unidentifiable part with an unreadable serial number. It could be one of several visually similar models, or an undocumented replacement that doesn't match the service history of that part on her tablet. This ambiguity used to mean wasted hours and the risk of costly errors. Now, with an Edge AI application, she simply points her camera at it. An on-device AI analyzes the component's physical features in real-time. In less than a second, it bypasses the unreadable label, identifies the part from among all known variants, and flags any inconsistencies with the official service record. The correct manual and part information appear on her screen.
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The future of intelligent applications isn't just in the cloud; it's in the seamless, symbiotic relationship between the cloud and the edge; especially for AI applications. By combining the local processing power of on-device vector search with the connective tissue of real-time data sync, we can build a new class of truly smart, resilient, and context-aware applications - that work offline as well as online and can support your workers anytime, anyplace in realtime. On top, this approach is way more resourceful, and therefore saves energy and thus monetary and environmental costs, while also empowering you to keep data secure and private on local devices.
"headline": "How On-Device Vector Databases with Data Sync Are Revolutionizing Field Services",
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"description": "Learn how an on-device vector database like ObjectBox with real-time data sync enables powerful, offline-first AI applications for industries like field services.",
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"keywords": "Edge AI, Vector Database, Data Sync, Offline-First, On-Device AI",
<scripttype="application/ld+json">{JSON.stringify({"@context": "https://schema.org", "@type": "BlogPosting", "mainEntityOfPage": {"@type": "WebPage", "@id": "https://dev.objectbox.io/on-device-vector-database-sync"}, "headline": "How On-Device Vector Databases with Data Sync Are Revolutionizing Field Services", "description": "Learn how an on-device vector database like ObjectBox with real-time data sync enables powerful, offline-first AI applications for industries like field services.", "keywords": "Edge AI, Vector Database, Data Sync, Offline-First, On-Device AI", "datePublished": "2025-09-10T11:47:46+02:00", "dateModified": "2025-09-10T11:53:47+02:00", "author": {"@type": "Person", "name": "Dr. Vivien Dollinger", "url": "https://www.linkedin.com/in/vivien-dollinger/"}})}</script>
keywords: [ObjectBox, Realm, migration, API mapping, reference]
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# Realm → ObjectBox API Mapping
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This quick reference helps you translate common Realm APIs and concepts to ObjectBox equivalents. Use it during migrations together with the full Migration Guide.
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This guide walks you through moving a project from **Realm** to **ObjectBox** with minimal downtime: planning, schema mapping, data export/import, and code changes.
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