Core Systems

Knowledge Graph

Link concepts, entities, and sources into a navigable graph of relationships and patterns.

Knowledge Graph

Graph surface for linking concepts, sources, agents, notes, and derived outputs. Navigate your knowledge base through relationships — not just file hierarchies, search results, or date-ordered lists.


Core Capabilities

Link Trace Navigate
Connect concepts, sources, and entities into a navigable relationship graph. Follow connections across documents, conversations, and extracted outputs. Explore your knowledge base through relationships, not just file hierarchies.

Features

Node Graph

Visual graph interface showing entities, concepts, and sources as connected nodes. Zoom, filter, and drill into any node to see its connections. The graph updates as new material enters the corpus.

Learn more about Node Graph →

Edge Model

Typed relationships between nodes — "references," "contradicts," "extends," "derived-from," "authored-by." The edge model captures not just that two things are connected, but how they relate.

Entity Links

Automatic and manual linking between entities across sources. When the same concept appears in a document, a conversation, and a set of notes, Entity Links connects them — creating navigable paths through your knowledge.

Learn more about Entity Links →

Relation Filters

Filter the graph by relationship type, entity category, source type, or time range. See only the connections that matter to the question you're asking right now.


The Problem We Solve

"I know these ideas are connected but can't prove it"

You've read enough to sense a pattern — a concept from one domain echoes in another. The Knowledge Graph makes implicit connections explicit, surfacing relationships that exist across your corpus.

"Linear search doesn't show relationships"

Search returns a list of results. The graph shows how those results connect to each other, to other entities, and to sources you haven't looked at yet. Navigation replaces search as the primary discovery mode.

"I lose track of where ideas came from"

Attribution matters. Every node in the graph carries provenance — which source it came from, when it was extracted, and how it links to verified evidence in the Verification Workspace.


Graph Intelligence

Pattern Detection

The graph identifies structural patterns — clusters of heavily connected nodes, isolated concepts that bridge domains, and emergent themes that span multiple sources.

Similarity Surfacing

When you view a concept, the graph surfaces similar or related concepts based on shared connections, co-occurrence in sources, and semantic proximity.

Provenance Tracking

Every link in the graph carries provenance metadata — which source, which extraction method, what confidence level. Follow any claim back to its original context.


Integration with Other Products


Related Solutions

Related Use Cases

  • For Researchers — Trace relations, detect patterns, and navigate knowledge
  • For Developers — Link architectural decisions across codebases and conversations
  • For Students — Map concept relationships across courses and study material

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