With the rise of Generative AI the ability for an application to provide comprehensive and explainable results has become critical. While architectures such as Retrieval Augmented Generation (RAG) have become popular ways to help mitigate these issues, combining them with knowledge graphs, using a technique called GraphRAG, has proven to be a valuable tool for getting better results. In this session we discuss how you can leverage Amazon Neptune, a purpose built graph database, to improve your generative AI applications with comprehensive and explainable data. Get started here go.aws/3xcKwm2 Follow AWS OnAir: LinkedIn: bit.ly/AWSOnAir-LinkedIn Twitch: bit.ly/Twitch-AWS-OnAir ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured ...