awembed(tool, public)
Train an embedding model that knows your corpus, and prove it beats the big one.
Name
awembed — Train an embedding model that knows your corpus, and prove it beats the big one.
The problem it solves
Every agent stack searches your code with an embedding model trained on someone else's. It is right about two thirds of the time on a corpus it never saw, and nothing in the stack measures that. Distilling a small student on your own corpus -- the big model's margins plus your labels -- beats the big model, and the eval that proves it is the part people skip.
Instead of trusting / you check
- instead of trusting
- a general-purpose embedder that has never seen your code
- you check
- a held-out split of whole directories, scored teacher vs student vs int8
Adopt it alone
Point it at one repo and get a 0.6B embedder that ranks your directories better than the 7B one it learned from, with the eval that proves it.
Install
pip install awembed
Where it sits in the path
- Not on the path yet — reference only.
Links
Generated 2026-09-14 00:48Z from the ecosystem registry. A field here that is wrong is wrong in the registry — fix it there and this page follows.