RELATE
An embedding runtime that knows its own limits: representation, similarity, retrieval, calibration and alignment with measured trust conditions.
Problem
Similarity scores are treated as answers while the conditions that make embedding geometry trustworthy stay unmeasured.
Outcome
A retrieval runtime that states when its geometry can be trusted, and refuses to pretend when it cannot.
Research base
Embeddings From First Principles
RELATE is the applied destination of Embeddings From First Principles: the point where representation, similarity, retrieval, calibration, cross-space alignment and compression combine into infrastructure that reports its own limits.
The book establishes the mechanism layer first — what it means for information to become geometry, and the measurable conditions under which distance tracks meaning. This solution page will grow into the inspectable runtime once the experimental work lands.