Definition
In RAG and AI orchestration, a graph is a non-linear data structure consisting of nodes (entities or states) and edges (relationships or transitions). It enables GraphRAG by mapping semantic connections that vector embeddings might miss, or defines agentic workflows where nodes represent tasks and edges represent conditional logic. Trade-off: Superior context retrieval and explainability at the cost of significantly higher computational overhead and index construction complexity.
Refers to Knowledge Graphs or Agentic State Machines, not X-Y axis data visualizations.
"A complex subway map where stations are specific data points and the colored lines represent the specific logical relationships or travel paths between them."
- GraphRAG(Application)
- Triples (Subject-Predicate-Object)(Prerequisite)
- State Machine(Component)
- Cypher(Component)
Conceptual Overview
In RAG and AI orchestration, a graph is a non-linear data structure consisting of nodes (entities or states) and edges (relationships or transitions). It enables GraphRAG by mapping semantic connections that vector embeddings might miss, or defines agentic workflows where nodes represent tasks and edges represent conditional logic. Trade-off: Superior context retrieval and explainability at the cost of significantly higher computational overhead and index construction complexity.
Disambiguation
Refers to Knowledge Graphs or Agentic State Machines, not X-Y axis data visualizations.
Visual Analog
A complex subway map where stations are specific data points and the colored lines represent the specific logical relationships or travel paths between them.