Neo4j Memory Server

/** * Vector Embedding Service - Clean Architecture Wrapper * Single responsibility: Interface adapter for smart embedding manager */ import { SmartEmbeddingManager } from './smart-embedding-manager'; export interface EmbeddingService { calculateEmbedding(text: string): Promise<number[]>; calculateSimilarity(vector1: number[], vector2: number[]): number; getModelDimensions(): Promise<number>; } /** * Clean implementation that wraps the smart embedding manager * Eliminates code duplication and centralizes embedding logic */ export class XenovaEmbeddingService implements EmbeddingService { private embeddingManager: SmartEmbeddingManager; constructor() { this.embeddingManager = new SmartEmbeddingManager(); } async calculateEmbedding(text: string): Promise<number[]> { return this.embeddingManager.calculateEmbedding(text); } calculateSimilarity(vector1: number[], vector2: number[]): number { return this.embeddingManager.calculateSimilarity(vector1, vector2); } async getModelDimensions(): Promise<number> { return this.embeddingManager.getModelDimensions(); } async preloadModel(): Promise<void> { return this.embeddingManager.preloadModel(); } async shutdown(): Promise<void> { return this.embeddingManager.shutdown(); } }