From the Matrix_

Retrieval

2026-09-11

The Embedding Leaderboard Is a Tombstone

The most-downloaded embedding model on HuggingFace is 4.5 years old. A 33M-parameter BERT from 2022 has 254 million downloads and the field has moved on around it. The leaderboard is a fossil record of what used to be good enough.

2026-09-09

Shrink the Embedder, Not the Idea

I swapped the 12-billion-parameter embedding model that powers local note retrieval for a 0.6-billion one. The vectors shrank 3.7x and the memory peak dropped from 12.3 GB to 185 MB. The docstring never got the memo.