[noperator]

I published a nearly identical tool, referencing the same paper, a few weeks ago :) Although I implemented a listwise algorithm instead of pairwise as described in the paper; ends up being a lot faster.

https://github.com/BishopFox/raink

https://bishopfox.com/blog/raink-llms-document-ranking

    raink \
        -f testdata/sentences.txt \
        -r 10 \
        -s 10 \
        -p 'Rank each of these items according to their relevancy to the concept of "time".' |
        jq -r '.[:10] | map(.value)[]' |
        nl
    
       1  The train arrived exactly on time.
       2  The old clock chimed twelve times.
       3  The clock ticked steadily on the wall.
       4  The bell rang, signaling the end of class.
       5  The rooster crowed at the break of dawn.
       6  She climbed to the top of the hill to watch the sunset.
       7  He watched as the leaves fell one by one.
       8  The stars twinkled brightly in the clear night sky.
       9  He spotted a shooting star while stargazing.
      10  She opened the curtains to let in the morning light.