solutions · workloads
Your own data, made answerable.
Datasets declared over data you already hold, indexes on top, pipelines between — query from the console, then wire the index into your runs. The data never leaves your custody.
the situation
Where it hurts.
The documents are in systems you already run; the answers live in someone's embedding script; the index is a mystery that regenerates wherever its author last ran it.
on quark
How it runs here.
Declare datasets over your own data, choose graph or vector indexes, and connect them with pipelines.
Query from the console to sanity-check retrieval, then wire the index straight into your workflow declarations. The data never leaves your project's custody.
pieces used
What does the work.
Every scenario maps to products that exist in the catalog — follow any piece through to its page.
Relations, traversal, and interactive query over your data.
Similarity search as a declared, rebuildable resource.
Rebuild runs you can watch and rerun — no scripts on someone's machine.
Exactly 3 products do the work — the Foundation is always on underneath.
contact
Talk to us about running Quark.
Tell us about your workloads — we will show you what your own cloud can do.