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Published 6 days ago • verified publishersashadenisov.dev
SDKFlutter
PlatformAndroidiOSLinuxmacOSwebWindows
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Runtime-agnostic on-device text embedding pipeline for flutter_gemma: tokenization, isolate worker, pooling and normalization. Pair with an engine package for a backend.

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2.1.1 #

  • Lift the dart_sentencepiece_tokenizer cap — 1.4.1 is now required, not excluded.

2.1.0 #

  • Add a SigLIP2 text-embedding profile (no BOS, single trailing EOS, lowercased, fixed 64-token width).
  • No longer pulls dart:io into the web graph; fromPath throws UnsupportedError there.
  • Cap dart_sentencepiece_tokenizer below 1.4.0, which rejects EmbeddingGemma's and SigLIP2's tokenizer.json.

2.0.0 #

  • BREAKING: runtime-agnostic embedder; LiteRtEmbeddingBackend moved to flutter_gemma_litertlm.
  • Add tokenizer-factory seam (ForwardPassDescriptor.tokenizerFactory) so engines can bring WordPiece too.
  • Add EmbeddingForwardPass.outputContract override + ForwardResult.attentionMask for the mask thread.
  • Add WordPieceEmbeddingTokenizer (BERT-style, e.g. MiniLM) alongside the existing Gemma SentencePiece adapter.

1.0.4 #

  • internal: run on the flutter_gemma_litertlm LiteRT engine (no API change).

1.0.3 #

  • Migrate to LiteRT v0.14.0 3-arg LiteRtCreateModelFromFile (adds LiteRtEnvironment); native-v0.14.0.

1.0.2 #

  • Realign the shared LiteRT-LM native bundle to native-v0.13.1-b (#364). No API change.

1.0.1 #

  • Rebuild on native-v0.13.1-a (shares the LiteRT-LM native bundle; restores NPU dispatch libs, #155). No embeddings API change.
  • Point homepage to fluttergemma.dev. No code change.

1.0.0 #

  • Stable 1.0.0; spec imports redirected off the dart:io mobile lib for a wasm-clean web graph.

1.0.0-rc.1 #

  • Initial release: on-device text embeddings (Gecko / EmbeddingGemma .tflite) via the LiteRT C API + dart:ffi.
  • Provides LiteRtEmbeddingBackend (EmbeddingBackendProvider); forward pass runs on a background isolate.
  • Autonomous (no dependency on flutter_gemma_litertlm); shares the LiteRT-LM native library when both are present.
  • Android, iOS, macOS, Linux, Windows + web (LiteRT.js).

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Runtime-agnostic on-device text embedding pipeline for flutter_gemma: tokenization, isolate worker, pooling and normalization. Pair with an engine package for a backend.

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Topics

#embeddings #gemma #litert #rag #on-device

License

MIT (license)

Dependencies

dart_sentencepiece_tokenizer, flutter, flutter_gemma

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