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Knowledge Base / FAQ — Multi-locale Articles, Attachments & AI Search | Velaxe

Knowledge Base / FAQ

Author your first FAQ with Markdown and autosave

Create a draft, write in Markdown/HTML, add tags, and publish with confidence.

12 min Beginner Support Lead, Docs Writer Updated Jul 30, 2025
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KB editor overview
Clean editor with autosave

Overview

Create a draft, write in Markdown/HTML, add tags, and publish with confidence.

Prerequisites

  • KB/FAQ app installed and accessible

Permissions required

kb.manage

Downloads & Templates

Answer skeleton (Markdown)

Template

Steps (4)

Estimated: 12 min
  1. 1

    Open the editor

    Docs Writer 1 min Back to top

    Navigate to Articles → **New**. The editor opens in draft mode with autosave enabled.

    Tips

    —

    Validation

    • Draft status shown in the header.

    Success criteria

    —

  2. 2

    Write the question and answer

    Docs Writer 7 min Back to top

    Enter a clear question and compose the answer in Markdown. Use headings, lists, and code blocks where needed.

    Tips

    • Lead with the short answer, then add deeper context.
    • Use fenced code blocks for snippets and steps lists for procedures.

    Validation

    —

    Success criteria

    —

  3. 3

    Add tags and choose locale

    Docs Writer 2 min Back to top

    Attach 2–5 tags and set the article locale (e.g., en-us).

    Tips

    —

    Validation

    • At least two relevant tags are attached.

    Success criteria

    —

  4. 4

    Preview and publish

    Docs Writer 2 min Back to top

    Preview the HTML rendering, fix any spacing or images, then click **Publish**.

    Tips

    —

    Validation

    —

    Success criteria

    • Article appears in list with status “Published”.

About this guide

Knowledge Base / FAQ is an enterprise-grade knowledge system for teams to author rich articles, attach images/videos/files, tag them for easy discovery, and localize content by locale. Users get instant answers via hybrid search: classic full-text (FTS) plus semantic vector retrieval with embeddings.

Editors benefit from autosave, clean Markdown/HTML authoring, tag chips, and attachment management. Ops can choose the embedding model and enable a nightly drift job that re-embeds older content as models improve—keeping search results fresh and accurate.

The app is workspace-native, so your data lives with your workspace, behind Velaxe RBAC and audit logs.