Re-Run of two great sessions from NODES 2024 in November!
Watch all NODES recordings: https://development.neo4j.dev/video/nodes-2024/

Session1: Measuring the Performance of VectorRAG vs GraphRAG

Join this session for an in-depth exploration of evaluating Retrieval Augmented Generation (RAG) pipelines, which are crucial for enhancing the performance of large language models (LLMs). As RAG becomes increasingly prevalent, understanding its evaluation is vital to identifying and improving weak points. This session delves into the benefits of integrating knowledge graphs for better grounding and explainability, contrasting it with traditional vector-based retrievers. We will discuss the latest LLM-based tools for automated RAG evaluation, and showcase applications using Neo4j-backed RAG pipelines and the RAG Automated Assessment (RAGAS) framework. You will gain valuable insights into advanced RAG evaluation techniques, helping you optimise your own RAG implementations.

Nathalie Charbel, Makbule Gulcin Ozsoy, Estelle Scifo

Session2: GraphRAG for Increased Trust and Confidence in GenAI for Manufacturing Processes

Disparate data systems often obstruct a comprehensive, end-to-end view of processes, hindering digital transformation efforts. In this session, Clive will explore how to overcome these challenges by modeling knowledge graphs for manufacturing processes. You will learn how knowledge graphs combined with generative AI can integrate and enrich data across various functions, providing deeper insights and an enhanced prompting experience.

Clive Ntuli

Get certified with GraphAcademy: https://dev.neo4j.com/learngraph
Neo4j AuraDB https://dev.neo4j.com/auradb
Knowledge Graph Builder https://dev.neo4j.com/KGBuilder
Neo4j GenAI https://dev.neo4j.com/graphrag