Discover how your
concepts cluster.
AI-discovered concept communities that reveal hidden organizational structure. The hierarchy isn't just what humans defined. it's augmented by what AI discovered in your codebase.
What Are Communities
Structure that emerges from data,
not from org charts.
Graphiti's LLM-powered community detection groups densely connected nodes in the knowledge graph and generates business-level summaries. The algorithm identifies concepts that interact frequently — sharing services, schemas, and compliance rules. and clusters them into meaningful communities.
Detect
LLM-powered entity extraction identifies densely connected subgraphs in the knowledge graph.
Summarize
Each community gets an AI-generated summary explaining how its member concepts interact.
Cross-reference
Discover connections between departments that no organizational chart shows.
From the Banking Playground
Real communities, discovered automatically.
“Loan Risk Management & Collateral Protection”
Concepts that interact densely in the mortgage lending domain. The AVM drives collateral assessment, which constrains loan-to-value ratios monitored by covenant compliance.
“Customer Identity & Regulatory Compliance”
The regulatory compliance cluster. Every concept in this community touches identity verification and anti-money laundering processes across multiple services.
“Payment Processing & Settlement”
Core payment infrastructure. These concepts cluster because they share services, schemas, and compliance rules around money movement.
Cross-Domain Intelligence
The connections no org chart shows.
Traditional organizational structures are siloed. Communities reveal unexpected connections: a compliance concept in legal shares services with a risk concept in finance, both depending on the same API maintained by engineering.
Information integration in action. combining knowledge from multiple sources into a unified representation that creates coherence from distributed organizational knowledge.
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