Mine forum and Stack Overflow answers
Years of community answers become part of the AI's knowledge.
Years of solved problems live in your Discourse forum and Stack Overflow tags, but that knowledge is unsearchable in practice and invisible to your docs. New users re-ask questions your community definitively answered in 2022.
BeforeQuery ingests Discourse and Stack Overflow as source types, indexing accepted answers alongside your official docs. The assistant synthesizes both — official guidance plus battle-tested community solutions — with citations that credit the original thread.
How it works
- 1Connect Discourse and Stack Overflow as source types.
- 2Solved threads and accepted answers are indexed alongside your official docs.
- 3Retrieval is unified — one question searches community wisdom and official guidance together.
- 4Citations credit the original thread, sending traffic back to the community.
What you get
Features that make it work
Frequently asked questions
Which community platforms can be indexed?
Discourse forums and Stack Overflow are dedicated source types; Slack channels can also be indexed. Content syncs into the same knowledge base as your docs.
What if a community answer is outdated?
Answers cite both community threads and official docs, so users can see when they diverge. Feedback and eval scores flag problem answers, and you can adjust which sources are indexed if a corpus proves noisy.
Do community members get credit?
Citations link back to the original thread, so the contributor's answer is credited and the community gets return traffic instead of being silently strip-mined.
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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