Vector Similarity Calculator & Embedding Ranker LOCAL ONLY
Compare one query vector with labeled candidates using cosine similarity, dot product, Euclidean distance or Manhattan distance.
Query 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.