Storage
S3 compatible fast, reliable, and secure file storage.
the context problem
Gigabytes of multimodal data.
Video, audio, PDFs, text, markdown, JSON and spreadsheets. One square is one file: 1,024 here, millions in practice.
the usual way
Vector search sees points.
It cuts your data into chunks, turns each one into a point, and returns the nearest few. Everything between the points (the reasons, the sequence, the relations) is gone.
12 points. the rest? gone.
relate
Graphon reads it all at once.
Graphon builds one large graph of your data, then fits a graphon to it: the limit object of that graph, a single function that maps the topology of the full graph.
- global structure
- across every file, not chunk by chunk
- inferred schema
- learned from the data, no ontology to draw
- scope
- the whole corpus
strong linkweak linkacross topics
there’s always one that’s late →
remember
Graphon learns the shape between them.
A graphon is the continuous limit of a graph: one smooth function over all of your data instead of a pile of points. Nothing between the points is lost.
← this is the good part
retrieve
Ask, and the graphon guides the search.
A question first finds a few matches. From there the graphon steers the search toward what is connected to them, until it has every source the answer needs.
How do we set the charger voltage on the APS-200 auxiliary converter?
manual.pdf · p. 47training.mp4 · 12:40ticket #4471
The manual says 110 V, set in menu 4.2. The training video adds a step: isolate the 750 V supply and wait five minutes first. A ticket notes units past serial 2400 read 2 V high, so set those to 108 V.
it shows its work.
fig. 1 — 32 × 32
