Leveraging Graph-Based Indexing and Retrieval-Augmented Generation for Comprehensive and Diverse Summarization of Large Text Corpora

A Graph RAG approach that combines knowledge graph generation, retrieval-augmented generation (RAG), and query-focused summarization (QFS) to support comprehensive and diverse summarization of large text corpora.