ObjectBox Vector
On-device vector database with out-of-the-box data sync, designed for resource-efficiency on mobile, IoT, and embedded devices, enabling offline-first AI applications without internet dependency.
About this tool
Overview
ObjectBox is an on-device Database with Vector Search and out-of-the-box Data Sync, designed for resource-efficiency on mobile, IoT, and other embedded devices. It offers the very first on-device offline vector search powering on-device AI, with cloud being optional.
Key Features
On-Device AI
The new on-device vector database enables advanced AI applications on small restricted devices:
- Mobile phones
- Raspberry Pis
- Medical equipment
- IoT gadgets
Offline-First Architecture
It is the missing piece to a fully local AI stack and the key technology to enable AI language models to interact with user specific data without an Internet connection.
Resource Efficiency
Optimized for devices with limited computational resources, enabling vector search operations that would typically require cloud infrastructure.
Edge AI Applications
Edge AI apps work independently from an internet connection, offline as well as online. So, they are ideal for low, intermittent, or no connectivity scenarios.
Data Synchronization
Comes with out-of-the-box data sync capabilities, allowing synchronization when connectivity is available while maintaining full functionality offline.
Use Cases
- Field service applications with on-device vector search and sync
- Medical devices requiring local AI processing
- Industrial IoT with intermittent connectivity
- Mobile apps requiring offline semantic search
- Edge computing scenarios
Pricing
Commercial product with developer-friendly pricing tiers.
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