Documentation Wiki
A Confluence-style documentation system built into Datavine. Organize team knowledge with spaces, hierarchical pages, a rich text editor, inline comments, and AI-generated reports.
/documentation in the app — separate from this public docs site at /docs.Spaces
Documentation is organized into Spaces — top-level containers for related content. Common space types include Runbooks (incident response procedures), Data Dictionary (table and column documentation), Team Guides (onboarding, workflows), and Architecture (system design decisions). Each space has a color and icon for visual identification.
Pages
Within a space, pages are organized in a tree hierarchy. Each page supports nested child pages, so you can build deep knowledge structures like "Runbooks → Pipeline Failures → BigQuery Timeout Recovery". Pages can be searched globally across all spaces.
Rich text editor
Pages are written using a block-based rich text editor (powered by TipTap) that supports headings, bold/italic, code blocks with syntax highlighting, ordered and unordered lists, tables, blockquotes, horizontal rules, and embedded links. The editor auto-saves drafts as you type.
Inline comments
Select any text in a published page and a "Comment" floating button appears. This creates an inline comment anchored to the specific text you selected — the text gets highlighted in purple so other readers can see where comments exist. Comments are threaded (you can reply to form a conversation) and can be resolved when the discussion is complete. Resolved comments fade out but remain accessible.
General comments
Below the page content, there's a general comments section for broader discussion that isn't tied to specific text. This is useful for feedback on the overall page, suggestions for new sections, or cross-referencing other documentation.
AI-generated reports
The AI Pipeline Agent can publish analysis reports directly into a special "AI Reports" space. These pages are auto-created with the agent's findings, root cause analyses, and remediation plans — giving your team a persistent record of every AI analysis run.
Version history
Every save creates a version. You can view the version history of any page to see who changed what and when. This provides a complete audit trail for your team's documentation.