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AI Knowledge Bases

Your company's answer engine.

Ask a question, get a cited answer drawn from your wikis, docs, tickets, and drives — with permissions respected and content kept current. Stop losing hours to 'where is that doc?' and 'who knows how this works?'

Build a Knowledge BaseTalk to an Engineer
Confluence · Notion · Google Drive · Slack · Zendesk · SSO + permission-aware retrieval

The knowledge exists. Nobody can find it.

Your answers are spread across five tools, three of them out of date, and the person who wrote them left last year. New hires ask the same questions in Slack for months.

An AI knowledge base unifies those sources behind one question box, returns cited answers, and tells people when it doesn't know rather than guessing. The hard parts — keeping content fresh, respecting who's allowed to see what, and not confidently citing a deprecated doc — are exactly what we engineer.

How we build it.

01

Connect sources

Confluence, Notion, Drive, Slack, Zendesk, GitHub — read-only sync with incremental updates.

02

Permission-aware indexing

Each chunk carries its access scope so answers never leak content a user can't see.

03

Grounded answers

Retrieval + citation-strict generation: every claim links to its source document.

04

Freshness

Re-sync on a schedule; deprecated and archived content is down-ranked or excluded.

05

Feedback loop

Thumbs up/down and 'this is outdated' flags feed content owners and tuning.

06

Surface anywhere

Web app, Slack bot, or embedded in your existing tools.

5+
sources unified
Cited
every answer
Permission
aware retrieval
<3 wk
to first answers

Ways to engage.

Starter KB
2–4 weeks
from $20,000
  • Up to 3 sources
  • Cited Q&A web app
  • Basic permissions
Start a KB
Company-Wide
6–9 weeks
from $55,000
  • All major sources + SSO
  • Permission-aware retrieval
  • Slack bot + embeds
  • Freshness + feedback loop
Plan a Rollout
Ongoing
monthly
from $7,000/mo
  • New sources + tuning
  • Quality monitoring
  • Content-gap reports
Discuss Operations
Show, don't tell

Permissions enforced at query time.

Retrieval runs as the asking user, so an answer can never cite a document that user isn't allowed to see.

kb.tstypescript
const ctx = await kb.retrieve(question, {  asUser: user.id,                       // permissions enforced here  sources: ["confluence", "drive", "zendesk"],})return llm.answer(question, ctx, {  citeSources: true,  refuseIfUnsupported: true,             // no confident guessing})
Answer
To rotate API keys, open Settings → Security
and click “Regenerate.” [security-runbook]
docs visible to user: 3 · cited: 1

Stale and archived content is down-ranked, and when the answer isn't in the corpus the assistant says so instead of making one up.

One box, every source

Unify the five tools your answers are scattered across.

Confluence, Notion, Drive, Slack, Zendesk, GitHub — synced read-only with incremental updates so answers stay current.

Surface it as a web app and a Slack bot, so people get cited answers where they already ask the question.

Build a knowledge base

Common questions.

How do you stop it leaking restricted docs?
Permissions are attached at the chunk level and enforced at query time against the user's identity (via SSO), so retrieval only ever sees what that user is allowed to see.
What about outdated content?
We sync on a schedule, down-rank or exclude archived/deprecated docs, and surface 'possibly outdated' flags so content owners can fix the source.
Will it admit when it doesn't know?
Yes — citation-strict generation refuses to answer when the knowledge base doesn't contain the answer, instead of confabulating.
Can employees use it in Slack?
Yes. We commonly ship a Slack bot alongside the web app so answers live where people already ask.

Where does your team's knowledge live?

Tell us your tools and your top recurring questions. We'll scope a knowledge base that answers them — with citations.

Build a Knowledge BaseBook a Call