# The docs, rebuilt: a linear journey with Ctrl+K search
URL: https://lsd.tools/blog/docs-revamp-search
Updated: 2026-07-17

> The documentation is now a structured, top-to-bottom journey — six categories from your first pipeline to publishing packages — with a Ctrl+K search palette, a sticky nav and table of contents, and a plain-markdown view of every page that coding agents and LLMs can read directly.

## Docs you can actually follow

Reference pages are easy; a *path* is hard. We rebuilt the docs as a single linear journey, organized into six categories — from **Start** (install and run your first pipeline) through **Building Tools**, **Examples**, the **UI Toolkit**, **Packages**, and the full **API Reference**. Each category owns a section of the left nav, so you always know where you are and what comes next.

## Ctrl+K to find anything

Every docs page ships a **search palette**: hit `Ctrl+K` (or `Cmd+K`), type, and jump. Results rank by title and headings, with full keyboard navigation. No more hunting through the sidebar.

## Built for humans and agents

Long pages get a sticky **table of contents** that tracks where you are as you scroll. And because coding assistants increasingly read our docs too, every page has a plain-markdown twin — append `.md` to any docs URL for a clean, token-efficient view, served `noindex` with a canonical link back to the HTML. The whole site is indexed for AI at [/llms.txt](/llms.txt).

## Dive in

Open the [docs](/docs), press `Ctrl+K`, and build something. We're filling in more guides and examples continuously.

## FAQ
### How do I search the docs?

Press Ctrl+K (or Cmd+K) anywhere in the docs to open the search palette, then type — results rank by title and headings, and Enter jumps you straight there.

### What is the .md view?

Append .md to any docs URL to get the raw markdown of that page — a token-efficient, noindex view that coding assistants and LLMs read directly, with a canonical link back to the HTML.

### Is there a machine-readable index?

Yes — /llms.txt lists the site's pages for AI answer engines, and /llms-full.txt inlines the full text, so tools can consume the docs without scraping HTML.


## References
- [Read the docs](https://lsd.tools/docs)
- [llms.txt](https://lsd.tools/llms.txt)