Power-up LLMs to be Factual Ninjas using GraphRAG
- Bangalore, India
About
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.
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