Unify knowledge scattered across tools
Docs, Notion, GitHub, Zendesk, Drive — one answer layer.
The answer exists — in Notion, or Confluence, or a GitHub README, or a closed Zendesk ticket — but nobody knows which, so they ask a human or give up. Every tool has its own search, and none of them see the others' content.
BeforeQuery syncs 18+ source types — website, GitHub, GitLab, Notion, Confluence, Google Drive, SharePoint, Zendesk, Jira, Linear, Slack, Discourse, Stack Overflow, and more — into one embedded index. One question searches everything, and every answer cites where it came from, whichever tool that was.
How it works
- 1Connect each tool — website, GitHub, Notion, Confluence, Drive, SharePoint, Zendesk, and more.
- 2All content is normalized, chunked, and embedded into one unified index.
- 3One question retrieves across every connected tool with hybrid search.
- 4Every answer cites the tool and document it came from.
What you get
Features that make it work
Frequently asked questions
How many source types are supported?
18+: website, GitHub, GitLab, Notion, Confluence, Google Drive, SharePoint, Shopify, Zendesk, Jira, Linear, Salesforce, Slack, Discourse, Stack Overflow, YouTube, OpenAPI specs, and file uploads.
How is content from different tools kept comparable?
Everything is normalized to markdown, chunked heading-aware, and embedded with the same model — so a Notion page, a README, and a closed ticket compete on relevance in the same hybrid search.
Can I control which sources answer which surfaces?
Yes. Source groups partition content, retrieval can be scoped by group_ids, and client keys can pin allowed groups — so an external widget only sees public docs while internal Ask sees everything.
How long does setup take?
Most teams are live the same day. You connect a source — a docs URL, GitHub repo, Notion workspace, or a file upload — and BeforeQuery crawls, normalizes, chunks, and embeds the content automatically. The website widget is a single script tag, and the Slack/Discord bots install in a few clicks. There is no model to fine-tune and no infrastructure to run.
Are answers backed by citations?
Yes. Every answer includes a structured citations list with the URL, title, and excerpt of each source used, and the answer text cites sources inline. Users can click through to verify any claim against the original document — which is what makes the answers trustworthy enough for support, sales, and internal use.
Is my content used to train AI models?
No. Your indexed content, embeddings, and conversations are isolated to your workspace and are only used to answer your own questions. Content is never shared across customers, and data is encrypted at rest and in transit. Enterprise plans add OIDC/SAML SSO, audit logs, and data-residency options.
Which knowledge sources can I connect?
18+ source types: websites, GitHub, GitLab, Notion, Confluence, Google Drive, SharePoint, Shopify, Zendesk, Jira, Linear, Salesforce, Slack, Discourse, Stack Overflow, YouTube, OpenAPI specs, and direct file uploads (PDF, Markdown, TXT, HTML). Sources sync on a schedule, and GitHub/GitLab can re-index automatically via webhooks on every push.
What happens when the AI is not confident in an answer?
Answers are confidence-scored. When retrieval confidence falls below your threshold, BeforeQuery returns a transparent, configurable fallback — typically pointing users to your support channel — instead of guessing. Those unanswered questions are logged in knowledge gap analytics so you can close the gap in your docs.
Related use cases
Make docs nobody reads actually useful
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Every unanswered question becomes a prioritized docs backlog.
Detect and fix stale documentation
AI-drafted doc updates from real user questions.
Ready to unify knowledge scattered across tools?
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