GraphRAG is a retrieval-augmented generation technique that leverages knowledge graphs to enhance the performance of large language models by providing more accurate and contextually relevant information. By integrating graph-based data structures into the retrieval process, GraphRAG enables more efficient and effective information retrieval, making it a valuable tool for developers and researchers working on natural language processing and artificial intelligence applications.
Stories
7 stories tagged with GraphRAG