graph-operations

Build a knowledge graph by modeling entities and relationships extracted from source document chunks. This process structures unstructured data to support informed decision making and cross-document linkage.

LightRAG graph-based search traverses a knowledge graph to connect disparate information across documents. It uses graph-based reasoning and traversal to retrieve related entities for complex information retrieval.

Query a knowledge graph by applying graph traversal techniques via LightRAG or GraphRAG modes. This connects disparate information across documents, enabling cross-document linkage and entity reasoning.

Yes, GraphRAG modes are supported alongside LightRAG for complex information retrieval. These modes apply graph-based reasoning and traversal to extract entities and satisfy multi-mode search requirements.

Use knowledge graph operations when tasks require graph-based reasoning, entity extraction, and traversal across documents. It is necessary for complex information retrieval where standard search cannot link entities and relationships.