Tvijo wiki
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Connections, backlinks and the knowledge graph

How the “Article connections” block is built, what each group means, and how an editor links two articles without a second content store.

🎯 For Editors and readers who follow a topic across several pages

📚 You will learn
  • Read the three connection groups correctly
  • Understand why the page never depends on JavaScript for navigation
  • Link two articles from the Django admin

Every article ends with a connections block. It answers one question: where should I go next if this page was not enough? The block is built from the database, not from a hand-maintained index, and it is readable without JavaScript.

🔗 The three groups

Group What it means Where it comes from
Linked articles An editor explicitly pointed this article at them related_articles on the article
Linked from Those articles point here The same field, read backwards
Same topic Neighbours in the same category The article's category

Order matters: explicit links first, then backlinks, then neighbours. The page shows at most eight connections — a graph with forty edges is decoration, not navigation.

🧭 Why a list and a map

The block contains two things at once:

  1. A plain list with real links. It works with JavaScript disabled, on a screen reader, and when the map fails to draw.
  2. A mini-map drawn by the page script from the same data. It gives the shape of the neighbourhood at a glance: the current article in the centre, its connections around it.

The map is progressive enhancement. It never contains information the list does not have, and it is hidden from assistive technology because it duplicates the list.

For the full picture there is the knowledge graph in the main product (/kb): all published articles, not one neighbourhood.

📚 What a connection is not

  • It is not an automatic embedding similarity. Nothing links two articles just because a model thinks they look alike.
  • It is not a promise of freshness. A linked page can be older than the link.
  • It is not a ranking signal. The wiki does not chase link counts; it tries to answer the next question.
  1. Open the article in the Django admin.
  2. Find Related articles and add the target.
  3. Save. The change is recorded as a revision like any other content edit.

There is one rule: link to a page that exists and is published. A link to a draft is invisible on the public page, and the editor will not notice the mistake until someone reports a dead end.

🚧 When this does NOT work

  • You want a cluster of twenty related pages. Eight is the cap; nobody reads the ninth.
  • You expect cross-language links. Each language has its own page; the connection block follows the current language and falls back to English titles for pages that are not translated.
  • You need an external graph database. The wiki reads the two fields it already has. A separate graph store would be a second source of truth for the same edges.

➡️ Next

Sources

Each source was opened by a human on the date shown. Product behaviour is described from this deployment, not from marketing material.

  1. Knowledge Base models (apps/knowledge) · GitHub · Checked 2026-10-28
  2. Public wiki home · Tvijo · Checked 2026-10-28
  3. Article index (JSON) · Tvijo · Checked 2026-10-28

🔗 Article connections

Open the full knowledge graph ↗

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