Microsoft Research’s new approach, GraphRAG, creates a knowledge graph based on an input corpus. This graph, along with community summaries and graph machine learning outputs, are used to …

Jul 11, 2025 · Design patterns for improving GenAI applications with a graph.

The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs.

Dec 31, 2024 · Following this motivation, we present a comprehensive and up-to-date survey on GraphRAG. Our survey first proposes a holistic GraphRAG framework by defining its key …

May 9, 2025 · Graph Retrieval-Augmented Generation (GraphRAG) is an AI approach that combines knowledge graphs with retrieval-augmented generation to deliver rich, context- and relationship …

What is GraphRAG? GraphRAG represents a novel approach to Retrieval-Augmented Generation (RAG) by integrating knowledge graphs with large language models (LLMs).

Jun 9, 2025 · Learn what is GraphRAG, how it works, its benefits, challenges, real-world uses in industries, and future RAG trends driving innovation in AI.

Jul 23, 2025 · GraphRAG stands apart from traditional RAG models by applying structured knowledge graph data for both retrieval and generation tasks. The system produces more contextually accurate …

Dec 5, 2024 · GraphRAG is a powerful retrieval mechanism that improves Generative AI applications by taking advantage of the rich context in graph data structures.

For us, it’s a set of RAG patterns that leverage a graph structure for retrieval. Each pattern demands a unique data structure, or graph pattern, to function effectively. On this site, we’ll dive into the …