import { type EmbedStats, type RPCOptions } from "../../schemas/index";
/**
 * Generates embeddings for a single text using a specified model.
 *
 * @overloadLabel "Single text"
 * @param params - The parameters for the embedding
 * @param params.modelId - The identifier of the embedding model to use
 * @param params.text - The input text to embed
 * @param options - Optional RPC options including per-call profiling
 * @returns A promise (decorated with `requestId`) resolving to an object with `embedding` (a single `number[]` vector) and optional `stats` performance data.
 * @throws {QvacErrorBase} When the response type is invalid or when the embedding fails
 */
export declare function embed(params: {
    modelId: string;
    text: string;
}, options?: RPCOptions): Promise<{
    embedding: number[];
    stats?: EmbedStats;
}> & {
    requestId: string;
};
/**
 * Generates embeddings for multiple texts using a specified model.
 *
 * @overloadLabel "Multiple texts"
 * @param params - The parameters for the embedding
 * @param params.modelId - The identifier of the embedding model to use
 * @param params.text - The input texts to embed
 * @param options - Optional RPC options including per-call profiling
 * @returns A promise (decorated with `requestId`) resolving to an object with `embedding` (one `number[]` vector per input text, i.e. `number[][]`) and optional `stats` performance data.
 * @throws {QvacErrorBase} When the response type is invalid or when the embedding fails
 */
export declare function embed(params: {
    modelId: string;
    text: string[];
}, options?: RPCOptions): Promise<{
    embedding: number[][];
    stats?: EmbedStats;
}> & {
    requestId: string;
};
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