Add returns t+t2, pointwise.

CosDistance returns the cosine distance between t and t2.

Decode decodes the byte array into a vector.

Encode encodes the vector as a byte array suitable for storing in KV.

InnerProduct returns the negative inner product of t1 and t2.

L1Distance returns the L1 (Manhattan) distance between t and t2.

L2Distance returns the Euclidean distance between t and t2.

MakeSet constructs a new empty vector set with the given number of dimensions.

MakeSetFromRawData constructs a new vector set from a raw slice of vectors.

Minus returns t-t2, pointwise.

Mult returns t*t2, pointwise.

NegInnerProduct returns the negative inner product of t1 and t2.

Norm returns the L2 norm of t.

ParseVector parses the Postgres string representation of a vector.

Random returns a random vector with the number of dimensions in [1, maxDim] range.

MaxDim is the maximum number of dimensions a vector can have.

T is the type of a PGVector-like vector.