Graph RAG

Map documents into a knowledge graph RAG plan

Cognee combines vector embeddings, graph reasoning, and ontology-oriented extraction. This page turns that architecture into a practical rollout checklist.

Ingestion scope

List documents, URLs, databases, and session traces, then decide dataset names, node sets, and update cadence.

Graph structure

Capture entities, relationships, temporal facts, custom DataPoint models, and ontology constraints that matter for answers.

Evaluation evidence

Track answer quality, retrieval modes, feedback loops, graph visualization, and failure cases before opening access.