Cosine Similarity vs Dot Product for Embeddings (2026)
June 30, 2026
Cosine similarity vs dot product for embeddings, with runnable TypeScript. Learn when to normalize, why they match for unit vectors, and which to pick.
Cosine similarity vs dot product for embeddings, with runnable TypeScript. Learn when to normalize, why they match for unit vectors, and which to pick.
Tune pgvector 0.8.2 HNSW indexes on PostgreSQL 18: ef_search, halfvec quantization, iterative scans, and parallel builds with a runnable Docker setup.
Embedding models compared: Word2Vec, GloVe, BERT, OpenAI text-embedding-3, Cohere v3, and open-source (BGE, E5). Dimensions, retrieval quality, and cost.