AI knowledge base: automatic FAQ from documents

Documents → FAQ: create interactive guide from Notion/Google Docs

Agent analyzes documents (Notion, Google Docs, PDF), extracts key info, organizes into structured FAQ and guide, adds to Notion/wiki, integrates with support chat. When user asks — agent searches knowledge base and answers. Russian and English. $19/mo.

366k+⭐ OpenClaw on GitHub
<5minutes to launch

Sound familiar?

What's eating your time

Knowledge scattered: Notion, Google Docs, Confluence, PDF — no one knows where answer is

FAQ dies: created once, never updated, info becomes stale

Support answers same questions daily: 'How to create account?', 'How does payment work?' — same answer every time

Docs not searchable: search in base doesn't work, info lost in big document

Capabilities

What your AI agent can do

Auto-extract info from documents

Agent reads Notion pages, Google Docs, PDF docs → identifies FAQ-ready info: 'How to create account?', 'What's pricing?' Transforms plain text into Q&A pairs.

Organized FAQ structure

Agent categorizes questions: Account (create, recover), Billing (pricing, payment methods), Technical (use API). Creates flexible structure with sub-categories.

Support chat integration

When customer or agent asks question → agent searches knowledge base, finds answer, suggests: 'Looks like question X, here's answer.' Support can quickly send instead of typing.

Auto-update and versioning

When source doc updates → agent sees change, updates FAQ automatically. Old versions preserved (who changed, when, what was). Question history = how answer evolved.

Search and suggestions

When support agent writes answer → agent suggests similar questions from base ('could answer X help?'). Improves consistency between agents.

Works with your tools

Notion
Google Docs
Slack
Zendesk
Intercom
Google Drive
How it works

Get started in a few steps

1

Select source documents

Admin selects which docs agent should parse: Notion wiki, Google Docs guides, PDF manuals. Agent connects to sources and sets up sync.

2

Agent parses and creates FAQ

Agent analyzes documents, identifies key info, transforms into Q&A pairs, organizes by categories. Result: structured FAQ in Notion or wiki.

3

Support agent asks question

Support agent in Slack: 'How does customer create account?' → agent searches knowledge base → finds answer → suggests: 'Here's answer from FAQ, send to customer?'

4

Search and suggestions while answering

When agent writes answer → agent suggests similar questions from FAQ: 'This looks like question X, answer Y might help.' Improves answer quality.

5

Update when docs change

When source doc (Notion page or Google Doc) changes → agent sees it, updates FAQ. Change history preserved: who/when/what changed. FAQ always current.

FAQ

Frequently asked questions

Yes. Documents in any language → agent parses and creates FAQ in same language. Search, suggestions — all work cross-language.

Want OpenClaw — without the DevOps?

OpenKlo is managed hosting for the original OpenClaw. Same agent, live in 3 minutes.

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