Knowledge engineering, done for you: taxonomy, Graph RAG, agent-ready structure, and ongoing knowledge health — architected and built by our team, not left to a self-serve setup wizard.
Not a document dump with embeddings on top. A structured, curated, agent-ready knowledge system.
We map your knowledge landscape and co-design categories and relationships that mirror your organization's real structure.
Embeddings plus explicit relationships — centrality scoring, related-doc links, and scoped collections, built and tuned for your corpus.
We write the contract for every document — what it's for, and what it's not for — enforced at authoring and at sync, so your agents never over-retrieve.
Ongoing freshness detection, usage analytics, and health alerts — so the system you build stays trustworthy.
We map your existing knowledge — docs, wikis, databases, tribal knowledge — and co-design a taxonomy that reflects how your org actually categorizes expertise.
Human-in-the-loop structuring: explicit relationships, category assignment, and metadata enrichment on top of your content.
Content is chunked, embedded, and indexed into scoped collections, with graph metadata — centrality, relationships — stored alongside.
We wire up staleness detection and usage analytics, then hand you a system you can run — or we keep operating it with you.
Institutional knowledge scattered across docs and tribal memory, with no way for agents — or new hires — to find it.
A docs site that's grown past what keyword search or vanilla RAG can handle well.
Want to publish a gated, monetizable knowledge base with an agent layer, but don't want to build the pipeline from scratch.
KnowOps is the done-for-you tier of TPS Report. If you'd rather build it in-house, the platform is self-serve today.
Tell us what you're working with. We'll scope the engagement on a call — no commitment required.