/**
 * TQGpuIndex — WebGPU accelerated vector search on TurboQuant compressed data.
 *
 * Uploads compressed vectors to GPU storage buffers once at init.
 * Each search dispatches a compute shader that scans all vectors in parallel.
 * CPU handles query rotation (via TurboQuant WASM); GPU handles the dot product scan.
 */
import type TurboQuant from "./index.js";
export declare class TQGpuIndex {
    #private;
    private constructor();
    get numVectors(): number;
    get dim(): number;
    /**
     * Stream compressed vectors to GPU. Accepts:
     * - Response: streams .tqv from fetch (17-byte TQV header + vectors)
     * - Uint8Array: raw concatenated compressed vectors (no TQV header, needs bytesPerVector)
     *
     * Never holds the full dataset in JS memory — one vector at a time.
     */
    static create(tq: TurboQuant, source: Response | Uint8Array, bytesPerVector?: number): Promise<TQGpuIndex | null>;
    dotBatchGpu(query: Float32Array): Promise<Float32Array>;
    destroy(): void;
}
export default TQGpuIndex;
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