1

Create a workspace and project

Sign in at app.beforequery.com and create a workspace (your organization) and a project (a knowledge base). Point the project at your documentation URL, for example https://docs.example.com.
2

Add a knowledge source and start a crawl

Your project’s website source is crawled automatically: BeforeQuery discovers your sitemap, respects robots.txt, strips navigation, extracts code blocks, converts pages to markdown, chunks them heading-aware, and embeds every chunk.Works out of the box with Docusaurus, Mintlify, GitBook, ReadMe, VitePress, MkDocs, and Hugo.Want more than a docs site? Add GitHub/GitLab repos, Notion or Confluence, OpenAPI specs, file uploads, and more from the Sources tab.
3

Test in the Playground

Open the Playground in the dashboard and ask a question. You’ll see the streamed answer with numbered [1] [2] citations linking to your source pages. Iterate on persona, tone, and custom instructions in project settings until the answers feel right.
4

Create a client key

Under Project → Integration Credentials, create a public client key (bq_pk_…). Public keys are safe to ship in browsers, scoped to a single project, and support an origin allowlist (wildcards like https://*.example.com are supported).
5

Deploy the widget

Add one script tag to your site:
That’s it — a floating “Ask AI” launcher appears with streaming chat, citations, instant search, Cmd/Ctrl+K shortcut, and dark-mode sync. See Widget for view modes and full configuration.

Prefer code?

Next steps

Knowledge sources

Connect repos, wikis, tickets, specs, forums, and files.

API reference

Chat, search, feedback, and deflection endpoints.