Features

Configure authentication and role-based access control (RBAC) to protect documentation pages and control access by user role.

Configure CamelMind to generate an AI-readable llms.txt file and control which documentation content AI models can access.

Configure how CamelMind exposes public documentation to AI agents and search crawlers through llms.txt, robots.txt, and sitemap.xml.

Inspect text served to RAG pipelines and fix formatting patterns that cause context loss during chunking.

Run a local, no-API-key RAG readiness check on a doc page and get chunk-level findings before it ever reaches a retrieval pipeline.

Lint your documentation for spelling, terminology, clarity, tone, and AI-writing artifacts with Vale, then customize the built-in style guide or replace it with your own.

Generate downloadable offline packages and master PDFs for a stable documentation version.

Download your documentation as either a self-contained offline website or a single PDF for offline access.

Add an interactive OpenAPI-powered API reference to your CamelMind documentation site.

Collect content feedback from readers and route submissions to your team's notification service.

Display when a documentation page was last updated, and optionally who made the change.