/**
 * Optimized JavaScript distance functions with SIMD-style unrolling.
 * These use allocation-free, unrolled loops where practical. Performance is
 * runtime- and workload-dependent; benchmark before making throughput claims.
 * and enabling better CPU pipelining.
 */
export declare function dotProductFast(a: Float32Array, b: Float32Array): number;
export declare function l2SquaredFast(a: Float32Array, b: Float32Array): number;
/**
 * Normalize a vector in place.
 * Uses 8-wide unrolling for better ILP.
 * Returns the original norm of the vector.
 */
export declare function normalizeInPlace(v: Float32Array): number;
/**
 * Compute cosine distance between two vectors.
 * For pre-normalized vectors, this is simply 1 - dot(a, b).
 * Uses 8-wide unrolling for norm computation.
 */
export declare function cosineDistanceFast(a: Float32Array, b: Float32Array, aIsNormalized?: boolean, bIsNormalized?: boolean): number;
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