Embedding that fits the budget — pick a model that matches your corpus — step 5 of 9

Cosine similarity has two pieces: the dot product of two vectors (numerator) divided by the product of their norms (denominator). Fill in the two expressions.

• The dot product is the sum over i of a[i] * b[i].
• The norm of a vector is sqrt(sum of squares).

Expected output:

0.9910