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GraphRAG

GraphRAG combines retrieval with a knowledge graph. Plain RAG pulls passages that sound similar to a question. GraphRAG can also follow relationships between entities, which helps with questions that need several connected facts or a summary across a whole collection. The cost is building and maintaining the graph, so it pays off only when those questions really matter.

1 guide on GraphRAG.

Reference Guide · 16 min read

Graph Types for AI Agents

The six structures behind modern AI search, taxonomy, ontology, knowledge graph, information graph, context graph, vector / embedding index, what each one actually is, when to use which, and how they combine into GraphRAG. One dataset, six structures, visualized in 2D and 3D.

Knowledge Graphs Vector Databases Ontology GraphRAG RAG Retrieval-Augmented Generation Context Graph Semantic Search AEO GEO AI Agents Schema.org

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Graph Algorithms, GraphRAG and Causal Graphs, with Graph Guru Amy Hodler podcast · Super Data Science
GraphRAG: discovery on narrative private data guide · Microsoft Research
How GraphRAG Helps AI Tools Understand Documents Better And post · r/MachineLearning
microsoft/graphrag repo · Microsoft
What is GraphRAG? | IBM guide · IBM

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AEO AI Agents Context Graph GEO Knowledge Graphs Ontology RAG Retrieval-Augmented Generation

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GraphRAG

Graph Types for AI Agents

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