import { type DocumentInterface } from "@langchain/core/documents";
import { RemoteRetriever, RemoteRetrieverValues, RemoteRetrieverParams } from "./remote/base.js";
export interface VespaRetrieverParams extends RemoteRetrieverParams {
    /**
     * The body of the query to send to Vespa
     */
    query_body: object;
    /**
     * The name of the field the content resides in
     */
    content_field: string;
}
/**
 * Class responsible for retrieving data from Vespa. It extends the
 * `RemoteRetriever` class and includes methods for creating the JSON body
 * for a query and processing the JSON response from Vespa.
 * @example
 * ```typescript
 * const retriever = new VespaRetriever({
 *   url: "https:
 *   auth: false,
 *   query_body: {
 *     yql: "select content from paragraph where userQuery()",
 *     hits: 5,
 *     ranking: "documentation",
 *     locale: "en-us",
 *   },
 *   content_field: "content",
 * });
 * const result = await retriever.getRelevantDocuments("what is vespa?");
 * ```
 */
export declare class VespaRetriever extends RemoteRetriever {
    static lc_name(): string;
    lc_namespace: string[];
    query_body: object;
    content_field: string;
    constructor(fields: VespaRetrieverParams);
    /**
     * Method that takes a query string as input and returns a JSON object
     * that includes the query and the original `query_body`.
     * @param query The query string to be sent to Vespa.
     * @returns A JSON object that includes the query and the original `query_body`.
     */
    createJsonBody(query: string): RemoteRetrieverValues;
    /**
     * Method that processes the JSON response from Vespa into an array of
     * `Document` instances. Each `Document` instance includes the content
     * from the specified `content_field` and the document's ID.
     * @param json The JSON response from Vespa.
     * @returns An array of `Document` instances.
     */
    processJsonResponse(json: RemoteRetrieverValues): DocumentInterface[];
}