Atlas · GenAI 2026

Knowledge Graphs

GraphRAG & knowledge graphs (Neo4j, Cypher)

conceptPeak: 2025Knowledge GraphsAI consensus: 2/3

Prerequisites

hardRetrieval-Augmented Generation
GraphRAG augments vector-based RAG with structured graph traversal — you must understand what basic RAG does to extend it
softGraph Neural Networks
GNN concepts (message passing, node embeddings) inform how knowledge graphs can be enriched, though not strictly required

Edge et al. (2024) 'From Local to Global: A Graph RAG Approach to Query-Focused Summarization' — arXiv:2404.16130; Microsoft GraphRAG paper

Anthropic Opus

Microsoft GraphRAG (2024). Neo4j + Cypher. Wieloetapowe wnioskowanie beyond vector search

Google Deep Think

Strukturyzacja faktów dla wieloetapowego wnioskowania [G#43]

→ is part of: GraphRAG(3/3)
← is an instance of: Neo4j(3/3)
→ is part of: Ontology Engineering(2/3)
→ is subcategory of: Ontology Engineering(1/3)
→ is subcategory of: NoSQL(1/3)
← is subcategory of: Graph Databases(0/3)