Knowledge
Usage cycle
Continuous composition
Every answer validated by the team is reabsorbed as an indexed fragment, and the base deepens with every cycle of use.
Documents, decisions and runbooks on one live base: versioned, governed and citable. Every answer your team gives comes back as an indexed asset.
A knowledge layer grows on its own, maintains provenance, and inherits governance from the source. Strattum delivers all three.
Every answer validated by the team is reabsorbed as an indexed fragment, and the base deepens with every cycle of use.
Every answer carries a citation anchored to the document, version, and originating paragraph. Audit stops being a quarterly project and becomes a native property.
ACL, classification, and retention follow the client policy: whoever cannot read the contract in SharePoint cannot access the excerpt via Strattum either, with no permission mirroring.
Explore GovernanceIngestion respects provenance, retrieval respects governance, and composition feeds usage history back into the base.
Official connectors read SharePoint, Confluence, Drive, Notion, repositories, and transactional databases. Each document enters with origin, version, author, and classification metadata preserved.
The layer combines vector, lexical, and entity graph search, and every query passes through the ACL filter before ranking.
A team-validated answer becomes an indexed fragment, linked to the questions that originated it. The base grows through use.
RAG answers today's question with yesterday's document, which carries a prototype and stalls at enterprise scale. Strattum's layer treats the base as a live asset, with governance, provenance, and continuous composition from the source.
| Dimension | Classical RAG | Strattum Knowledge |
|---|---|---|
| Mental model | Retrieval pipeline | Versioned knowledge layer |
| Base growth | Manual, via re-ingestion | Continuous, via answer reabsorption |
| Provenance | Source document | Document, version, paragraph, and author |
| Permission | Post-filter on result | Pre-filter on index via inherited ACL |
| Base quality | Periodic audit | Continuous contradiction and gap linting |
| Validated answer | Disappears in chat history | Becomes an indexed, citable fragment |
| Multi-source | Chunk concatenation | Entity graph across sources |
| Operations | ML notebook | Platform with SLA and observability |
Knowledge