## Details
Agenda:
10:00 am Registration & Networking
10:30 am AI Alliance Overview
10:15 am IBM Granite Time Series Foundation Models
10:45 am GraphRAG workshop - Siddhant Agarwal of Neo4j
12:15 pm Wrap up
Topic: Power up LLMs to be Factual Ninjas using 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.
