Reuse video tutorials as answerable knowledge
YouTube transcripts become searchable, citable answers.
Your best explanations live in webinar recordings and YouTube tutorials that nobody will scrub through to find one detail. That knowledge is invisible to search and effectively write-only.
BeforeQuery ingests YouTube as a source type, indexing transcripts alongside your written docs. A user asking "how do I configure SSO?" gets an answer synthesized from both the docs page and the walkthrough video, with a citation pointing back to the video — your video investment finally compounds.
How it works
- 1Connect YouTube as a source — transcripts are indexed alongside written docs.
- 2Retrieval is unified: one question searches videos and docs together.
- 3Answers synthesize both, with citations pointing back to the video.
- 4New videos join the index on the next sync.
What you get
Features that make it work
Frequently asked questions
What video content can be indexed?
YouTube is a supported source type — transcripts of your tutorials, webinars, and walkthroughs are indexed into the same knowledge base as your written content.
Do answers link back to the video?
Yes. Citations credit the video source, so a user asking about a topic covered in a walkthrough gets pointed to the video itself alongside any relevant docs pages.
What if the video and the docs disagree?
Both are cited, so the discrepancy is visible rather than hidden — and it will surface in quality reviews as a signal that one of them needs updating. Keeping sources synced narrows drift over time.
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.
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Ready to reuse video tutorials as answerable knowledge?
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