Power-up LLMs to be Factual Ninjas using GraphRAG

Join us for this AI Alliance event in Bangalore to learn more about the AI Alliance and the IBM Granite Time Series Foundation Models.

In a workshop, Siddhant Agarwal of Neo4j will introduce GraphRAG.

Abstract: In the age of big data, Large Language Models (LLMs) are powerful yet limited by challenges like factual inaccuracy, poor reasoning, and difficulty with complex information. This talk introduces GraphRAG, a game-changing approach that integrates knowledge graphs with LLMs to overcome these limitations. Unlike traditional LLMs or vector-only RAG systems, GraphRAG leverages structured data to enhance accuracy, enable deeper reasoning, and unlock advanced contextual understanding. Through real-world examples, we’ll explore how GraphRAG bridges the gap between raw data and meaningful insights, showcasing its potential to revolutionize intelligent applications like question answering and chatbots.