build(deps): bump objectbox, objectbox_generator and objectbox_flutter_libs

[dependabot]

Bumps objectbox, objectbox_generator and objectbox_flutter_libs. These dependencies needed to be updated together.
Updates objectbox from 2.5.1 to 4.0.0

Release notes

Sourced from objectbox's releases.

V4.0 Vector Search

To upgrade to this major release run flutter pub upgrade objectbox --major-versions (or for Dart Native apps dart pub upgrade objectbox --major-versions).

ObjectBox now supports Vector Search to enable efficient similarity searches.

This is particularly useful for AI/ML/RAG applications, e.g. image, audio, or text similarity. Other use cases include semantic search or recommendation engines.

Create a Vector (HNSW) index for a floating point vector property. For example, a City with a location vector:

@Entity()
class City {
@​HnswIndex(dimensions: 2)
@​Property(type: PropertyType.floatVector)
List<double>? location;
}

Perform a nearest neighbor search using the new nearestNeighborsF32(queryVector, maxResultCount) query condition and the new "find with scores" query methods (the score is the distance to the query vector). For example, find the 2 closest cities:

final madrid = [40.416775, -3.703790];
final query = box
    .query(City_.location.nearestNeighborsF32(madrid, 2))
    .build();
final closest = query.findWithScores()[0].object;

For an introduction to Vector Search, more details and other supported languages see the Vector Search documentation.

• The generator correctly errors when using an unsupported index on a vector type.
• Flutter for Linux/Windows, Dart Native: update to objectbox-c 4.0.0.
• Flutter for Android: update to objectbox-android 4.0.0. If you are using Admin, make sure to update to io.objectbox:objectbox-android-objectbrowser:4.0.0 in android/app/build.gradle.
• Flutter for iOS/macOS: update to objectbox-swift 2.0.0. Existing projects may have to run pod repo update and pod update ObjectBox.

Commits

• 6a54675 Prepare release 4.0.0
• 52e9f9d CHANGELOG: clarify generator errors on unsupported indexes on vectors
• 210a139 README: fix line breaks
• 81ffe10 CHANGELOG: shorten code example even more
• 6b44b00 CHANGELOG: make vector search an intro, add major version hint.
• f0d9f9b Merge branch '106-hnsw-annotation' into 'main'
• 889223a Require at least C API 4.0.0 with core 4.0.0-2024-05-14
• 5a1811f Update C-API [e196f0f2 -> 4.0.0]
• e9ee0c9 Update ObjectBox Swift [1.9.2 -> 4.0.0]
• b16331c Update objectbox-android [3.8.0 -> 4.0.0]
• Additional commits viewable in compare view

Updates objectbox_generator from 2.5.1 to 4.0.0

Release notes

Sourced from objectbox_generator's releases.

V4.0 Vector Search

To upgrade to this major release run flutter pub upgrade objectbox --major-versions (or for Dart Native apps dart pub upgrade objectbox --major-versions).

ObjectBox now supports Vector Search to enable efficient similarity searches.

This is particularly useful for AI/ML/RAG applications, e.g. image, audio, or text similarity. Other use cases include semantic search or recommendation engines.

Create a Vector (HNSW) index for a floating point vector property. For example, a City with a location vector:

@Entity()
class City {
@​HnswIndex(dimensions: 2)
@​Property(type: PropertyType.floatVector)
List<double>? location;
}

Perform a nearest neighbor search using the new nearestNeighborsF32(queryVector, maxResultCount) query condition and the new "find with scores" query methods (the score is the distance to the query vector). For example, find the 2 closest cities:

final madrid = [40.416775, -3.703790];
final query = box
    .query(City_.location.nearestNeighborsF32(madrid, 2))
    .build();
final closest = query.findWithScores()[0].object;

For an introduction to Vector Search, more details and other supported languages see the Vector Search documentation.

• The generator correctly errors when using an unsupported index on a vector type.
• Flutter for Linux/Windows, Dart Native: update to objectbox-c 4.0.0.
• Flutter for Android: update to objectbox-android 4.0.0. If you are using Admin, make sure to update to io.objectbox:objectbox-android-objectbrowser:4.0.0 in android/app/build.gradle.
• Flutter for iOS/macOS: update to objectbox-swift 2.0.0. Existing projects may have to run pod repo update and pod update ObjectBox.

Commits

• 6a54675 Prepare release 4.0.0
• 52e9f9d CHANGELOG: clarify generator errors on unsupported indexes on vectors
• 210a139 README: fix line breaks
• 81ffe10 CHANGELOG: shorten code example even more
• 6b44b00 CHANGELOG: make vector search an intro, add major version hint.
• f0d9f9b Merge branch '106-hnsw-annotation' into 'main'
• 889223a Require at least C API 4.0.0 with core 4.0.0-2024-05-14
• 5a1811f Update C-API [e196f0f2 -> 4.0.0]
• e9ee0c9 Update ObjectBox Swift [1.9.2 -> 4.0.0]
• b16331c Update objectbox-android [3.8.0 -> 4.0.0]
• Additional commits viewable in compare view

Updates objectbox_flutter_libs from 2.5.1 to 4.0.0

Release notes

Sourced from objectbox_flutter_libs's releases.

V4.0 Vector Search

To upgrade to this major release run flutter pub upgrade objectbox --major-versions (or for Dart Native apps dart pub upgrade objectbox --major-versions).

ObjectBox now supports Vector Search to enable efficient similarity searches.

This is particularly useful for AI/ML/RAG applications, e.g. image, audio, or text similarity. Other use cases include semantic search or recommendation engines.

Create a Vector (HNSW) index for a floating point vector property. For example, a City with a location vector:

@Entity()
class City {
@​HnswIndex(dimensions: 2)
@​Property(type: PropertyType.floatVector)
List<double>? location;
}

Perform a nearest neighbor search using the new nearestNeighborsF32(queryVector, maxResultCount) query condition and the new "find with scores" query methods (the score is the distance to the query vector). For example, find the 2 closest cities:

final madrid = [40.416775, -3.703790];
final query = box
    .query(City_.location.nearestNeighborsF32(madrid, 2))
    .build();
final closest = query.findWithScores()[0].object;

For an introduction to Vector Search, more details and other supported languages see the Vector Search documentation.

• The generator correctly errors when using an unsupported index on a vector type.
• Flutter for Linux/Windows, Dart Native: update to objectbox-c 4.0.0.
• Flutter for Android: update to objectbox-android 4.0.0. If you are using Admin, make sure to update to io.objectbox:objectbox-android-objectbrowser:4.0.0 in android/app/build.gradle.
• Flutter for iOS/macOS: update to objectbox-swift 2.0.0. Existing projects may have to run pod repo update and pod update ObjectBox.

Commits

• 6a54675 Prepare release 4.0.0
• 52e9f9d CHANGELOG: clarify generator errors on unsupported indexes on vectors
• 210a139 README: fix line breaks
• 81ffe10 CHANGELOG: shorten code example even more
• 6b44b00 CHANGELOG: make vector search an intro, add major version hint.
• f0d9f9b Merge branch '106-hnsw-annotation' into 'main'
• 889223a Require at least C API 4.0.0 with core 4.0.0-2024-05-14
• 5a1811f Update C-API [e196f0f2 -> 4.0.0]
• e9ee0c9 Update ObjectBox Swift [1.9.2 -> 4.0.0]
• b16331c Update objectbox-android [3.8.0 -> 4.0.0]
• Additional commits viewable in compare view

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[dependabot]

Superseded by #49.