Glossary: Embeddings and Vector Search
dot product
Also written: inner product, @
Multiply two vectors position by position and add up the results. For unit vectors it equals cosine similarity, and in NumPy `@` computes it.
Glossary: Embeddings and Vector Search
Also written: inner product, @
Multiply two vectors position by position and add up the results. For unit vectors it equals cosine similarity, and in NumPy `@` computes it.