Meaning has
no file type.
Project language, imagery, video, charts, and visual documents into one shared geometry—then watch meaning arrange itself.
Ask in one medium.
Discover in another.
Search the curated field or add a small collection of your own. Every result is scored in the same normalized vector space.
Your semantic field is quiet.
Compose a query or choose a curated expedition. The first run maps the multimodal corpus; later runs reuse its cached vectors.
Put any two ideas
under the lens.
Compare any supported pair, then observe whether their relationship survives Matryoshka compression from 4,096 to 64 dimensions.
Add one input on each side to activate the microscope.
Fold the vector.
Keep the meaning.
WeMM emits a 4,096-dimensional embedding with Matryoshka structure. Store fewer leading dimensions when latency or memory matters, and inspect the tradeoff here before choosing.