FlutterGemmaPlugin class - flutter_gemma_interface library

Constructors

hashCode → int: The hash code for this object.
no setterinherited
initializedEmbeddingModel → EmbeddingModel?: no setter
initializedModel → InferenceModel?: no setter
modelManager → ModelFileManager: no setter
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited

addDocument({required String id, required String content, String? metadata}) → Future<void>: Add document to vector store (will compute embedding automatically).
addDocumentWithEmbedding({required String id, required String content, required List<double> embedding, String? metadata}) → Future<void>: Add document to vector store with pre-computed embedding.
clearVectorStore() → Future<void>: Clear all documents from vector store.
createEmbeddingModel({required String modelPath, required String tokenizerPath, PreferredBackend? preferredBackend}) → Future<EmbeddingModel>: Creates and returns a new EmbeddingModel instance.
createModel({required ModelType modelType, ModelFileType fileType = ModelFileType.task, int maxTokens = 1024, PreferredBackend? preferredBackend, List<int>? loraRanks, int? maxNumImages, bool supportImage = false}) → Future<InferenceModel>: Creates and returns a new InferenceModel instance.
getVectorStoreStats() → Future<VectorStoreStats>: Get vector store statistics.
initializeVectorStore(String databasePath) → Future<void>: === RAG functionality === Initialize vector store database.
noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
searchSimilar({required String query, int topK = 5, double threshold = 0.0}) → Future<List<RetrievalResult>>: Search for similar documents.
toString() → String: A string representation of this object.
inherited