GraphRAG: Data with Context

In today's connected world, traditional data stores often make it difficult to uncover valuable relationships. By making relationships a key component of the model, contextualizing data becomes incredibly simple. In this session, we will walk through what a graph database is and how it can transform your applications and data. We’ll explore creating, querying, and displaying data using tools that interact with the database. Then, we’ll examine how graphs are powering advancements in AI through vectors and GraphRAG. Live demos will showcase how developers can interact with graph data and integrate it into technical systems.
Who is this presentation for?
practitioners
Prerequisite knowledge:
n/a
What you'll learn?
what is a graph database, how to interact with graph dbs, and integrate with AI

Jennifer Reif is a Developer Advocate at Neo4j, speaker, and blogger with an MS in CMIS. An avid developer and problem-solver, she has worked with many businesses and projects to organize and make sense of widespread data assets and leverage them for maximum business value. She has expertise in a variety of commercial and open source tools, and she enjoys learning new technologies, sometimes on a daily basis! Her passion is finding ways to organize chaos and deliver software more effectively.