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 …

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 …

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 …

3 days ago · Learn how GraphRAG combines knowledge graphs with retrieval-augmented generation to create more accurate, explainable AI responses. Complete implementation guide with code examples.

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 …

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

May 27, 2025 · GraphRAG revolutionises domain-specific LLM applications by leveraging structured knowledge to organise and retrieve information, enhancing performance and reliability. It can be …

Jan 13, 2026 · Great breakdown of the core issue RAG retrieves facts, but GraphRAG maintains relationships, which is what real reasoning needs. This makes it obvious why multi-hop and high …