import { BaseAtlasClass } from './user.js';
import type { AtlasUser } from './user.js';
import { AtlasProjection } from './projection.js';
import { AtlasDataset as AtlasDataset } from './project.js';
import type { Table } from 'apache-arrow';
import { AtlasViewer } from './viewer.js';
import type { components } from './type-gen/openapi.js';
import * as Atlas from './global.js';
type IndexInitializationOptions = {
    project_id?: Atlas.UUID;
    project?: AtlasDataset;
};
export declare class AtlasIndex extends BaseAtlasClass<{}> {
    id: Atlas.UUID;
    _projections?: AtlasProjection[];
    project: AtlasDataset;
    constructor(id: Atlas.UUID, user?: AtlasUser | AtlasViewer, options?: IndexInitializationOptions);
    protected endpoint(): string;
    /**
     *
     * @param ids a list of ids (atom_ids, which are scoped to the index level) to fetch. If passing
     * datum_ids, use the project-level fetchIds method. This API is subject to change.
     *
     * @returns a list of Records containing metadata for each atom.
     */
    atomInformation(ids: string[] | number[] | bigint[]): Promise<any>;
    /**
     *
     * @returns a list of projections for this index.
     */
    projections(): Promise<AtlasProjection[]>;
    /**
     *
     * @param datum_ids a list of datum ids to search for
     * @param atom_ids a list of atom ids to search for
     * @param k The number of neighbors to return for each one.
     * @returns A table containing the nearest neighbors for each atom.
     */
    nearest_neighbors(nn_options: Atlas.NNOptions): Promise<Table>;
    /**
     *
     * @param param0 A keyed dictionary including `k` (the number of neighbors to return)
     * and `queries` (a list of vectors to search for).
     * @returns
     */
    nearest_neighbors_by_vector({ k, queries, }: Omit<components['schemas']['EmbeddingNeighborRequest'], 'atlas_index_id'>): Promise<components['schemas']['EmbeddingNeighborResponse']>;
}
export {};