vector_kit 0.1.1

SIMD-accelerated vector math for embeddings: dot product, cosine similarity, normalization, and top-k search over packed matrices.

0.1.1

• Docs: tightened the README wording and visuals.

Changelog

0.1.0

• Initial release.
• SIMD dot product, cosine similarity, Euclidean distance, and normalization over Float32List, with fail-fast validation of lengths and non-finite components.
• VectorMatrix: packed row-major storage with precomputed row norms, top-k cosine, dot product, and Euclidean search, and a VKT1 binary format for serialization.