EmbeddingService class

Dart-based embedding service backed by a dedicated background isolate.

All ONNX inference runs on a long-lived worker isolate so that the main isolate (UI thread) is never blocked. The public API is unchanged:

await EmbeddingService.init(modelPath: '/path/to/model.onnx');
final embedding = await EmbeddingService.embed('Hello world');
await EmbeddingService.disposeAsync();

Constructors

EmbeddingService()

Properties

hashCode → int

The hash code for this object.

no setter, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

Methods

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited

Static Properties

debugMode ↔ bool

Debug mode flag — forwarded to the worker on each embed call.

getter/setter pair

Static Methods

dispose() → void

Backward compatible, non-blocking dispose.

disposeAsync() → Future<void>

Release resources deterministically.

embed(String text) → Future<List<double>>

Convert text to an embedding vector.

embedBatch(List<String> texts, {int concurrency = 1, void onProgress(int completed, int total)?}) → Future<List<List<double>>>

Batch embed multiple texts (sequential processing).

init({Uint8List? modelBytes, String? modelPath, OrtSessionOptions? options, int? intraOpNumThreads}) → Future<void>

Initialize ONNX model on a background worker isolate.