Definition
The architectural process of augmenting LLM contexts with structured relational data stored in nodes and edges, enabling 'GraphRAG' for multi-hop reasoning and precise entity-level retrieval. While it introduces higher schema complexity and extraction costs, it provides deterministic factual grounding and relationship mapping that standard vector similarity searches often fail to capture.
Explicit relational logic vs. implicit embedding proximity.
"A subway map where every station is a specific concept and the tracks represent the logical connections between them."
- Entity Extraction(Prerequisite)
- Triples (Subject-Predicate-Object)(Component)
- GraphRAG(Implementation Strategy)
- Cypher(Query Language)
Conceptual Overview
The architectural process of augmenting LLM contexts with structured relational data stored in nodes and edges, enabling 'GraphRAG' for multi-hop reasoning and precise entity-level retrieval. While it introduces higher schema complexity and extraction costs, it provides deterministic factual grounding and relationship mapping that standard vector similarity searches often fail to capture.
Disambiguation
Explicit relational logic vs. implicit embedding proximity.
Visual Analog
A subway map where every station is a specific concept and the tracks represent the logical connections between them.