awembed

Train an embedding model that knows your corpus. Your agents search your code, your docs, your tickets with an embedding model that has never seen any of it. A general-purpose embedder is right about two thirds of the time on a corpus it was not trained on. You can do better with a model thirteen times smaller, in an afternoon, on one GPU — and prove it on a split the model never saw.