Related Articles
Definition
Related articles create a navigational web within the knowledge base, connecting articles that cover related topics, different aspects of the same feature, prerequisite knowledge, and next-step guidance. They can be manually curated (an author explicitly links related articles) or automatically suggested (a system recommends articles with high semantic similarity). Related articles improve knowledge base usability by reducing dead ends — users who finish one article can seamlessly continue to adjacent content. They also enable AI systems to traverse content relationships when answering multi-faceted questions.
Why It Matters
Related articles serve two distinct audiences: human readers browsing the help center (who benefit from navigational continuity) and AI systems traversing the knowledge graph (which can retrieve related articles to provide more comprehensive answers). Well-linked knowledge bases produce better AI answers because the retrieval system can access a richer context network around any single topic.
How It Works
Manual related article links are configured in the CMS as explicit article references. Automated recommendations are generated by computing cosine similarity between all article embeddings and suggesting articles above a similarity threshold. These suggestions are surfaced in the editor for author review. The published related articles are rendered as a linked list at the bottom of each article and stored as graph edges in the knowledge base data model.
Related Article Recommendation Engine
Current Article
How to Cancel Your Subscription
Extract Topics / Tags
NLP keyword & entity extraction
Match Against KB Index
Vector similarity + tag overlap
Scoring Factors
Topic Overlap
User Journey Patterns
Manual Curation
Top 3 Related Articles
How to Downgrade Your Plan
94%Billing FAQ & Payment Methods
87%Cancellation Policy Overview
81%Shown at bottom of article page
Real-World Example
A user reads an article about connecting Slack to their account. At the bottom, they see three related articles: 'Configure Slack notification preferences', 'Slack OAuth troubleshooting', and 'Supported messaging integrations overview'. They click through to the notification preferences article — a question they had but had not yet searched for. The related articles surfaced it proactively.
Common Mistakes
- ✕Automatically adding too many related article suggestions without author curation — 15 loosely related articles at the bottom of a page are overwhelming.
- ✕Not updating related article links when articles are deleted or moved, creating broken references.
- ✕Only using semantic similarity for related article generation and missing important relationships that require domain knowledge to identify.
Related Terms
Knowledge Base Article
A knowledge base article is a single piece of content within a knowledge base — covering one topic, question, or procedure in depth. Articles are the atomic unit of a knowledge base, and their quality, structure, and searchability directly determine how useful the knowledge base is for both human readers and AI retrieval systems.
Knowledge Graph
A knowledge graph is a structured representation of entities and the relationships between them — stored as nodes and edges in a graph database. In knowledge management, it enables AI systems to understand not just isolated facts but how concepts, products, people, and processes relate to each other.
Content Linking
Content linking is the practice of creating hyperlinks between knowledge base articles — connecting concepts, prerequisites, related topics, and deeper dives. Well-linked content creates a navigable knowledge web that improves both human browsing and AI multi-hop retrieval.
Knowledge Base Search
Knowledge base search is the capability that enables users to find relevant articles, and enables AI systems to retrieve relevant content to answer questions. Effective search combines full-text keyword matching with semantic understanding — finding relevant content even when users use different words than those in the articles.
Content Hierarchy
Content hierarchy refers to the parent-child organizational structure of a knowledge base — categories containing subcategories containing articles, each at a defined depth level. A well-designed hierarchy makes large knowledge bases navigable and enables granular metadata filtering for AI retrieval.
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