Definition
The process of navigating a Knowledge Graph (KG) or semantic network by traversing edges (relationships) between nodes (entities) to retrieve multi-hop context. This technique allows RAG pipelines to resolve complex queries that require connecting disparate pieces of information, trading off higher query latency and schema complexity for superior factual accuracy and explainability.
Unlike vector search which finds 'similar' items in a flat space, traversal follows 'logical' paths like 'Owner of' or 'Located in'.
"A subway system where concepts are stations and relationships are the tracks; to get from Point A to Point C, the agent must physically pass through the connecting Point B."
- GraphRAG(Implementation Framework)
- Entity Extraction(Prerequisite Step)
- Triplets (S-P-O)(Fundamental Data Component)
- Multi-hop Reasoning(Functional Objective)
Conceptual Overview
The process of navigating a Knowledge Graph (KG) or semantic network by traversing edges (relationships) between nodes (entities) to retrieve multi-hop context. This technique allows RAG pipelines to resolve complex queries that require connecting disparate pieces of information, trading off higher query latency and schema complexity for superior factual accuracy and explainability.
Disambiguation
Unlike vector search which finds 'similar' items in a flat space, traversal follows 'logical' paths like 'Owner of' or 'Located in'.
Visual Analog
A subway system where concepts are stations and relationships are the tracks; to get from Point A to Point C, the agent must physically pass through the connecting Point B.