Vector Similarity Calculator & Embedding Ranker
Compare a query vector with labeled embedding candidates using cosine similarity, dot product, Euclidean distance, or Manhattan distance, and rank them.
Runs locally in your browserQuery vector
Candidate vectors
Compare vectors without exposing embeddings
Cosine compares direction, dot product also reflects magnitude, and distance metrics rank smaller values first. Normalize vectors consistently with the embedding workflow you use in production.