Knowledge Graph

Aiguro automatically builds a knowledge graph across each workspace - connecting documents, discoveries, hypotheses, entities, and methods. It is updated continuously as content is added or changed, enabling deeper, cross-cutting insights that go far beyond looking at individual items in isolation.

What the graph enables:

• Explore visually pan, zoom, and click through an interactive map of how everything connects
• See which documents support or contradict a hypothesis
• Find similar or conflicting hypotheses across the workspace
• Follow a discovery's signal evolution over time
• Spot evidence gaps - assumptions with no supporting data yet
• Identify thematic clusters - groups of related hypotheses and discoveries the team should tackle together
• Detect near-duplicate items - hypotheses or discoveries that describe the same insight, so the team can consolidate rather than work on redundant tracks
• Remember what the team has already turned down dismissing a discovery or deleting a hypothesis (with an optional reason) is recorded as durable memory, so AI assistants and discovery generation avoid re-proposing the same idea later, even after the original item is gone
• AI assistants and discovery generation are automatically informed of existing clusters and duplicates, preventing the system from creating redundant items
• A discovery that clearly restates an existing hypothesis is never created in the first place; one that merely resembles an existing hypothesis is still created but flagged right on the findings list with a link to it, so the connection is visible before anyone tries to act on it