Embedding that fits the budget — pick a model that matches your corpus (step 4/9) · context and retrieval

promptdojo_

Look at the four vectors in the editor. The query vector [0.8, 0.2, 0.0, 0.0] is dominated by the first dimension — weight 0.8 on axis 1, weak elsewhere.

Which doc shares that pattern? Predict the exact stdout: three similarity scores (4 decimal places each) and the name of the closest doc.

your prediction

Look at the four vectors in the editor. The query vector [0.8, 0.2, 0.0, 0.0] is dominated by the first dimension — weight 0.8 on axis 1, weak elsewhere.

Which doc shares that pattern? Predict the exact stdout: three similarity scores (4 decimal places each) and the name of the closest doc.

your prediction

Embedding that fits the budget — pick a model that matches your corpus — step 4 of 9