RAG knowledge base for internal teams
Instant semantic search across all your internal docs, tickets, and tribal knowledge.
An enterprise knowledge assistant that ingests your Notion, Confluence, Slack, Linear, and Google Drive — then lets employees ask questions in natural language with cited sources. Keeps current via scheduled reindexing.
- How do we handle permissions and document-level access?
- Which sources add signal vs. noise?
- How do we keep embeddings fresh as sources change?
- How do we prove ROI beyond "feels faster"?
- 500+ employees
- Distributed knowledge (multiple tools)
- High onboarding cost
What shipping this looks like.
The typical tools for this use case.
Every engagement picks the right tool for your context — these are defaults, not prescriptions.
Services that deliver this use case.
More use cases.
View all →AI copilot for SaaS dashboards
Embed a conversational copilot that lets users query, act, and automate inside your product.
AI customer support automation
Deflect tier-1 tickets, auto-route tier-2, and free your human team for complex work.
Voice AI agents for inbound calls
Handle bookings, FAQs, and routing fully autonomously. Escalate with full context.
Thinking about rag knowledge base for internal teams?
Book a 30-minute scoping call. We'll tell you what shipping this looks like for your context.