sentence2simvecjs/dist/shared/embeddingCache.d.ts

Vector-based sentence similarity (0.0-1.0) + embedding export. JavaScript implementation inspired by PINTO0309/sentence2simvec

export interface CachedEmbedding {
    id: string;
    text: string;
    embedding: Float32Array;
    metadata?: any;
}
export interface EmbeddingCacheOptions {
    cacheDir?: string;
    inMemory?: boolean;
    persistToDisk?: boolean;
}
export declare class EmbeddingCache {
    private cache;
    private options;
    private cacheFile;
    constructor(options?: EmbeddingCacheOptions);
    addText(text: string, id?: string, metadata?: any): Promise<CachedEmbedding>;
    addTexts(texts: Array<{
        text: string;
        id?: string;
        metadata?: any;
    }>): Promise<CachedEmbedding[]>;
    addTextsFromFile(filePath: string): Promise<CachedEmbedding[]>;
    addTextsFromJSON(filePath: string, textField?: string): Promise<CachedEmbedding[]>;
    findSimilar(queryText: string, topK?: number, threshold?: number): Promise<Array<{
        embedding: CachedEmbedding;
        similarity: number;
    }>>;
    findSimilarByEmbedding(queryEmbedding: Float32Array, topK?: number, threshold?: number): Array<{
        embedding: CachedEmbedding;
        similarity: number;
    }>;
    batchSimilarity(queryText: string): Promise<Map<string, number>>;
    batchSimilarityByEmbedding(queryEmbedding: Float32Array): Map<string, number>;
    get(id: string): CachedEmbedding | undefined;
    getAll(): CachedEmbedding[];
    clear(): void;
    size(): number;
    private generateId;
    private saveToDisk;
    private loadFromDisk;
    exportToFile(filePath: string): Promise<void>;
    importFromFile(filePath: string): Promise<void>;
}
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