Knowledge Corpus

Knowledge Graph and Connections

How BrainTube discovers and visualizes connections between your content.

BrainTube builds a Knowledge Graph — a network of relationships between your saved content, entities, and concepts.

How Connections Form

Automatic Discovery

The auto-linker creates edges based on shared entities (2+ shared trigger a connection), semantic similarity (>85%), and co-mention patterns.

Relationship Types

The graph supports 22 edge types including related_to, builds_on, contradicts, reinforces, and synonym_of.

Exploring the Graph

Knowledge Map

Visit Knowledge Boxes to see a visual map of how your content connects.

Item Connections

On any item's detail page, scroll to "Related Content" to see connected items.

Graph-Enhanced Search

Search traverses the graph to discover contextually related items beyond keyword matches.

Graph Health

  • Orphan rate — Goal: <25% items with no connections
  • Edge density — Average connections per item
  • Community detection — Clusters of densely connected items become Second Brains

Personalized PageRank

BrainTube uses Personalized PageRank (inspired by HippoRAG) to discover multi-hop connections — finding items connected through chains of relationships.

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