Semantic search across all documentation
Finds the right passage even when the caller uses different words.
Solutions · Knowledge Hub
Knowledge Hub
Intelligent search across all your documentation, wikis, and knowledge bases. RAG-powered answers that cite sources, stay current, and understand context.
✓2–3 week deployment✓Answers cite sources✓Respects source permissions
Capabilities
Search that can show its work
Retrieval-augmented answers over your own content, with the citations and permissions that make them usable.
RAG-powered answers with source citations
Each answer links to the document, page or ticket it came from.
Automatic content indexing and updates
Changed and deleted content is re-indexed, so answers stay current.
Multi-source aggregation
Confluence, Notion, SharePoint, Drive, Dropbox, GitHub and custom APIs in one index.
Natural language queries
Ask a question the way you would ask a colleague.
Access control and permissions
Answers respect the source system's permissions instead of leaking content.
Usage analytics and gap identification
See what people search for and fail to find, then fix the content.
Slack and Teams integration
Ask in the channel you already work in, with the same cited answers.
Business impact
What teams report
Outcomes from prior knowledge deployments.
60–70%less time spent searching for information
3xfaster onboarding with instant knowledge access
100+file formats indexed
Citedanswers instead of plausible guesses
Reported outcomes from previous deployments, not a guarantee. Answer quality depends on content coverage and permissions.
Where it lands
Common use cases
Four places a cited-answer index pays for itself.
Internal knowledge base
Instant access to policies, procedures and technical documentation across systems and wikis.
Customer self-service
Power a help centre with search that understands the question and cites the answer.
Sales enablement
Find product specs, case studies, pricing information and competitive intelligence quickly.
Technical documentation
Search API docs, troubleshooting guides and specifications across repositories.
Technical specifications
How it is deployed
The technical shape of a standard deployment.
| Deployment time | 2–3 weeks typical |
|---|---|
| Integration | Confluence, Notion, SharePoint, Google Drive, Dropbox, GitHub, custom APIs |
| AI models | Frontier language and embedding models, plus custom embeddings |
| Search latency target | Sub-200 ms for most queries |
| Indexing | Real-time updates; 100+ file formats |
| Security | Source permissions respected; encryption in transit and at rest |
Engagement path
How an engagement runs
A typical Knowledge Hub engagement.
STEP 01
Scope
Map the systems, volume and escalation rules; agree the success measures and the boundaries of the automation.
STEP 02
Deploy
Configure the solution against your systems and run it with guardrails and human review where it matters.
STEP 03
Validate
Measure against the agreed numbers on real traffic before going wide.
STEP 04
Operate
Monitor, tune and extend — hand off to your team or run it as a managed service.
Make your documentation answerable
Schedule a discovery call to see how Knowledge Hub can transform your operations — start with one source you already trust.
Existing partner? Sign in to the partner portal for contract pricing, order status and invoices.
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