RAG knowledge assistants

Knowledge assistants answer staff and customer questions from your policies, manuals and records, cite their sources and respect who is allowed to see what.

01Index

Your documents are indexed securely with their permissions.

02Retrieve

A question retrieves the most relevant passages.

03Answer

The model writes an answer grounded in those passages.

04Cite

Sources are cited so users can verify.

05Improve

Feedback improves retrieval over time.

Staff questionDocumentsPermissionsSearch indexYour teamAI agentGuardrailsLive and monitored
How RAG knowledge assistants work, step by step

What are RAG knowledge assistants?

RAG knowledge assistants use retrieval-augmented generation to answer questions from your own documents, policies and knowledge bases, with citations to the source.

They help staff find answers in seconds, speed up onboarding and give customers accurate self-service answers, while respecting document permissions.

RAG knowledge assistantsExample

What is our refund policy for annual plans?

Annual plans can be refunded in full within 14 days of purchase. After that, refunds are prorated.

Source: Billing policy, section 3

What it handles

  • Policy and procedure questions
  • Product and technical documentation
  • Onboarding and training
  • Sales and support enablement
  • Search across drives and wikis

How it works

  1. Your documents are indexed securely with their permissions.
  2. A question retrieves the most relevant passages.
  3. The model writes an answer grounded in those passages.
  4. Sources are cited so users can verify.
  5. Feedback improves retrieval over time.

What to measure

We agree on these numbers before launch and report on them every month.

Answer accuracy

Answers judged correct against the source.

Citation coverage

Answers that cite a source.

Time saved

Search time avoided per question.

Adoption

Active users each week.

Guardrails

  • Permission-aware retrieval
  • Answers only from approved sources
  • Your data is not used to train public models
  • Usage analytics and feedback loops

Integrations

SharePointGoogle DriveConfluenceNotionMicrosoft TeamsSlack

Where it fits

Common questions

Straight answers. If yours is not here, ask us directly.

Ask a question
Which sources can it search?

SharePoint, Google Drive, Confluence, Notion, databases and websites.

Does it respect permissions?

Yes. Users only see answers from documents they are allowed to access.

Can it run privately?

Yes. We deploy in your cloud account, or on-premises with open-source models when needed.

Put rAG knowledge assistants to work.

A free 30-minute discovery call, an honest read on scope and cost, and a clear next step.