/**
 * Author: Srilal S. Siriwardhane
 * Email: SrilalS@99x.io
**/
import { AbstractVectorStoreEngine } from './AbstractVectorStoreEngine.js';
import { Response } from '../types/Response.js';
import { Document } from '../types/Document.js';
import { OnBrowserEmbeddingEngine } from '../embeddings/OnBrowserEmbeddingEngine.js';
/**
 * ClientVectorStore class to handle the VectorStore operations.
 * This class extends the VectorStoreFactory to enforce the methods.
 */
export declare class ClientVectorStoreEngine extends AbstractVectorStoreEngine {
    /**
     * Currently we are using the gt-small model for the embedding.
     * This can be changed to any other model supported by the TransformersJS library.
     * The gte-small model is small and fast, as well as efficient for the client side.
     */
    embedder: OnBrowserEmbeddingEngine;
    /**
     * constructor
     * This constructor sets the allowRemoteModels to true and allowLocalModels to false.
     * to prevent the usage of local models thus interfering with the client side operations.
     */
    constructor(embedder: OnBrowserEmbeddingEngine);
    static init(): Promise<ClientVectorStoreEngine>;
    searchVectorStore(query: string, dbName: string, topK: number): Promise<Document[]>;
    createVectorStore(dbName: string, documents: Document[]): Promise<Response>;
}