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READMEs: update vector search docs link, hint at on-device
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README.md

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and servers, both online and offline.
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### Features
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🏁 **Very first on-device vector database** - for AI apps that work any place.\
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🏁 **Very first [on-device vector database](https://docs.objectbox.io/on-device-ann-vector-search)** - for AI apps that work any place.\
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🏁 **High performance** - superfast response rates enabling real-time applications.\
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🪂 **ACID compliant** - Atomic, Consistent, Isolated, Durable.\

objectbox/CHANGELOG.md

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**To upgrade to this major release** run `flutter pub upgrade objectbox --major-versions`
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(or for Dart Native apps `dart pub upgrade objectbox --major-versions`).
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**ObjectBox now supports [Vector Search](https://docs.objectbox.io/ann-vector-search)** to enable
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**ObjectBox now supports on-device [Vector Search](https://docs.objectbox.io/on-device-ann-vector-search)** to enable
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efficient similarity searches.
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This is particularly useful for AI/ML/RAG applications, e.g. image, audio, or text similarity. Other
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```
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For an introduction to Vector Search, more details and other supported languages see the
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[Vector Search documentation](https://docs.objectbox.io/ann-vector-search).
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[Vector Search documentation](https://docs.objectbox.io/on-device-ann-vector-search).
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* The generator correctly errors when using an unsupported index on a vector type.
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* Flutter for Linux/Windows, Dart Native: update to [objectbox-c 4.0.0](https://github.com/objectbox/objectbox-c/releases/tag/v4.0.0).

objectbox/README.md

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## Features
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🧠 **Artificial Intelligence** - superfast vector search.\
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🧠 **Artificial Intelligence** - superfast [on-device vector search](https://docs.objectbox.io/on-device-ann-vector-search).\
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🏁 **Super fast** - 10X faster than SQLite - see the [performance benchmarks](#flutter-database-performance-benchmarks).\
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🪂 **ACID compliant** - Atomic, Consistent, Isolated, Durable.\
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💻 **Cross-platform** - Android, iOS, macOS, Linux, Windows.\
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# Vector-Search Example: Cities
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# On-Device Vector Search Example: Cities
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This is a simple example application to demonstrate the Vector Search feature of ObjectBox.
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It searches for nearest neighbors of a city.
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## Docs
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- [Getting started with ObjectBox](https://docs.objectbox.io/getting-started)
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- [ANN Vector Search](https://docs.objectbox.io/ann-vector-search)
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- [On-Device ANN Vector Search](https://docs.objectbox.io/on-device-ann-vector-search)

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