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.

Feb 13, 2024 · GraphRAG (Graphs + Retrieval Augmented Generation) is a technique for richly understanding text datasets by combining text extraction, network analysis, and LLM prompting and …

Mar 24, 2026 · GraphRAG is a powerful retrieval mechanism that improves Generative AI applications by taking advantage of the rich context in graph data structures.

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 …

Jan 7, 2026 · GraphRAG is a retrieval-augmented generation technique that represents documents as knowledge graphs instead of vector embeddings.

Feb 13, 2026 · What is GraphRAG in simple terms? GraphRAG is a way to make AI answers smarter by giving large language models a map of how things connect instead of just similar-sounding text …

Mar 27, 2026 · GraphRAG: A graph-based retrieval-augmented generation (RAG) system. The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, …

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 …