May 6, 2025 · What is a Knowledge Graph? Concepts Learn key GraphRAG concepts and how they fit together. How-to Guides Goal focused guides, from data preparation to retrieval. …

Feb 13, 2024 · Microsoft Research’s new approach, GraphRAG, uses the LLM to create a knowledge graph based on the private dataset. This graph is then used alongside graph …

Jul 8, 2024 · Recently, a new advancement to improve naive RAG is introduced called GraphRAG which uses Knowledge Graphs over Vector DBs for finding relevant information from external …

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 …

Sep 6, 2024 · In this post, I will focus on one popular way KGs and LLMs are being used together: RAG using a knowledge graph, sometimes called Graph RAG, GraphRAG, GRAG, or …

GraphRAG represents a novel approach to Retrieval-Augmented Generation (RAG) by integrating knowledge graphs with large language models (LLMs). This system addresses the limitations …

Apr 17, 2025 · The graph model allows efficient storage, management, querying, and processing of the richness of real-world information. In a RAG system, the knowledge graph serves as the …

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 …

Feb 14, 2025 · Through the use of knowledge graphs, GraphRAG offers a more detailed and nuanced understanding of queries, aiding in more accurate response generation. By …

Aug 7, 2024 · Unlike a baseline RAG that uses a vector database to retrieve semantically similar text, GraphRAG enhances RAG by incorporating knowledge graphs (KGs). Knowledge graphs …