import type { BaseClientOptions, BaseRequestOptions } from "../../../../../../../../../../BaseClient";
import { type NormalizedClientOptions } from "../../../../../../../../../../BaseClient";
import * as core from "../../../../../../../../../../core";
import * as ElevenLabs from "../../../../../../../../../index";
export declare namespace ChunkClient {
    type Options = BaseClientOptions;
    interface RequestOptions extends BaseRequestOptions {
    }
}
export declare class ChunkClient {
    protected readonly _options: NormalizedClientOptions<ChunkClient.Options>;
    constructor(options?: ChunkClient.Options);
    /**
     * Get details about a specific documentation part used by RAG.
     *
     * @param {string} documentation_id - The id of a document from the knowledge base. This is returned on document addition.
     * @param {string} chunk_id - The id of a document RAG chunk from the knowledge base.
     * @param {ElevenLabs.conversationalAi.knowledgeBase.documents.ChunkGetRequest} request
     * @param {ChunkClient.RequestOptions} requestOptions - Request-specific configuration.
     *
     * @throws {@link ElevenLabs.UnprocessableEntityError}
     *
     * @example
     *     await client.conversationalAi.knowledgeBase.documents.chunk.get("21m00Tcm4TlvDq8ikWAM", "chunk_id", {
     *         embeddingModel: "e5_mistral_7b_instruct"
     *     })
     */
    get(documentation_id: string, chunk_id: string, request?: ElevenLabs.conversationalAi.knowledgeBase.documents.ChunkGetRequest, requestOptions?: ChunkClient.RequestOptions): core.HttpResponsePromise<ElevenLabs.KnowledgeBaseDocumentChunkResponseModel>;
    private __get;
}
