Module similarity 

Cosine similarity computation and ranking.

Since all embeddings are L2-normalized, cosine similarity equals the dot product — no square roots needed at query time.

Functions

dot_product

Cosine similarity between two L2-normalized vectors (= dot product).

rank_all

Rank all chunks against a query embedding using matrix-vector multiply.