One store for everything
your agent knows.
Drop-in S3 — swap the endpoint, keep your SDK. Land a file once and K3 derives the tables and vectors for you, always in sync. No separate vector DB, no embeddings going stale.
Start building on K3Three systems to store one fact — and they still drift.
Giving an app knowledge today means stitching three databases and the jobs between them — and they fall out of sync anyway.
One write. Three engines. Always in sync.
The same write lands in all three engines at once, kept in sync automatically. For everything else — PDF → chunks, invoice → tables, audio → transcript — turn on a pipeline from a template, and it runs on every upload.
One layer, read every way.
The same bytes, exposed as objects, tables and vectors — with the transformations between them handled for you.
Drop a file. It becomes a typed object.
PUT any file over the S3 API. K3 stores it, versions every write, and emits an event you can hook into.
Unstructured in. Queryable rows out.
Turn invoices, 10-Ks and CSVs into typed rows automatically — schema inferred, columns mapped, provenance kept.
Retrieval that already knows your data.
Chunks are embedded as data lands — text, image, multimodal — into a bucket-attached index. No pipeline to run.
