Clawctl
Use Case
4 min

Talk to Your Documentation with AI

AI agent with RAG capabilities to chat with your documentation. Find answers without digging through docs.

Clawctl Team

Product & Engineering

Talk to Your Documentation with AI

Documentation is scattered. Search is ineffective. You know the answer is in Confluence, Notion, or a wiki—but where?

The Documentation Black Hole

Internal docs, API references, runbooks. They exist. Finding the right page at the right time is the problem. Search fails. Browsing is slow.

The Solution: RAG-Powered Doc Chat

An OpenClaw agent with RAG (retrieval-augmented generation):

  • Indexes your docs — Confluence, Notion, GitBook, or file-based
  • Answers in context — "How do we reset the staging DB?" returns steps from your runbooks
  • Cites sources — Links back to the exact page or section

You ask in plain language. You get answers grounded in your documentation.

Deploy Your Doc Agent

Clawctl provides audit logs for every query and access to doc sources. Control which repos or workspaces the agent can index.


Deploy your documentation agent.

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