import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import { VectorStore } from "@langchain/core/vectorstores";
import { Document } from "@langchain/core/documents";
/**
 * Type definition for the arguments required to initialize a
 * TigrisVectorStore instance.
 */
export type TigrisLibArgs = {
    index: any;
};
/**
 * Class for managing and operating vector search applications with
 * Tigris, an open-source Serverless NoSQL Database and Search Platform.
 */
export declare class TigrisVectorStore extends VectorStore {
    index?: any;
    _vectorstoreType(): string;
    constructor(embeddings: EmbeddingsInterface, args: TigrisLibArgs);
    /**
     * Method to add an array of documents to the Tigris database.
     * @param documents An array of Document instances to be added to the Tigris database.
     * @param options Optional parameter that can either be an array of string IDs or an object with a property 'ids' that is an array of string IDs.
     * @returns A Promise that resolves when the documents have been added to the Tigris database.
     */
    addDocuments(documents: Document[], options?: {
        ids?: string[];
    } | string[]): Promise<void>;
    /**
     * Method to add vectors to the Tigris database.
     * @param vectors An array of vectors to be added to the Tigris database.
     * @param documents An array of Document instances corresponding to the vectors.
     * @param options Optional parameter that can either be an array of string IDs or an object with a property 'ids' that is an array of string IDs.
     * @returns A Promise that resolves when the vectors have been added to the Tigris database.
     */
    addVectors(vectors: number[][], documents: Document[], options?: {
        ids?: string[];
    } | string[]): Promise<void>;
    /**
     * Method to perform a similarity search in the Tigris database and return
     * the k most similar vectors along with their similarity scores.
     * @param query The query vector.
     * @param k The number of most similar vectors to return.
     * @param filter Optional filter object to apply during the search.
     * @returns A Promise that resolves to an array of tuples, each containing a Document and its similarity score.
     */
    similaritySearchVectorWithScore(query: number[], k: number, filter?: object): Promise<[Document<Record<string, any>>, number][]>;
    /**
     * Static method to create a new instance of TigrisVectorStore from an
     * array of texts.
     * @param texts An array of texts to be converted into Document instances and added to the Tigris database.
     * @param metadatas Either an array of metadata objects or a single metadata object to be associated with the texts.
     * @param embeddings An instance of Embeddings to be used for embedding the texts.
     * @param dbConfig An instance of TigrisLibArgs to be used for configuring the Tigris database.
     * @returns A Promise that resolves to a new instance of TigrisVectorStore.
     */
    static fromTexts(texts: string[], metadatas: object[] | object, embeddings: EmbeddingsInterface, dbConfig: TigrisLibArgs): Promise<TigrisVectorStore>;
    /**
     * Static method to create a new instance of TigrisVectorStore from an
     * array of Document instances.
     * @param docs An array of Document instances to be added to the Tigris database.
     * @param embeddings An instance of Embeddings to be used for embedding the documents.
     * @param dbConfig An instance of TigrisLibArgs to be used for configuring the Tigris database.
     * @returns A Promise that resolves to a new instance of TigrisVectorStore.
     */
    static fromDocuments(docs: Document[], embeddings: EmbeddingsInterface, dbConfig: TigrisLibArgs): Promise<TigrisVectorStore>;
    /**
     * Static method to create a new instance of TigrisVectorStore from an
     * existing index.
     * @param embeddings An instance of Embeddings to be used for embedding the documents.
     * @param dbConfig An instance of TigrisLibArgs to be used for configuring the Tigris database.
     * @returns A Promise that resolves to a new instance of TigrisVectorStore.
     */
    static fromExistingIndex(embeddings: EmbeddingsInterface, dbConfig: TigrisLibArgs): Promise<TigrisVectorStore>;
}