Search that runs on one machine and can be measured.
What works today
- Dense, sparse and late-interaction vectors from one model, then a reranker, behind a standard interface.
- Models can be swapped by profile and compared with the built-in evaluation harness.
- A memory server for agents: remember, search, and report what is indexed. Several different agents use the same memory.
- Trust tiers: reviewed files can outrank unreviewed notes, or be the only source.
Why it is in the lab
It is the instrument for the retrieval and memory research, and it serves embeddings to the document projects.