David Hughes

GraphRAG has proven to be a powerful tool across various use cases, enhancing retrieval accuracy, language model integration, and delivering deeper insights to users.

In this presentation, we will explore the potential of Memgraph and GraphXR in transforming data analytics and visualization. Memgraph, a high-performing, in-memory graph database, is renowned for its speed and scalability, offering a powerful solution for managing complex and large-scale graph data​​​​​​​​​​​​​​​​.

In this talk, we'll delve into the world of graph query engines, exploring how they are revolutionizing the field of data analytics and visualization. Our focus will be on PuppyGraph, an emerging graph query engine that layers atop traditional relational data stores.

Clinical, proteomic, and pharma knowledge graphs are complex aggregations of constituent sub graphs. These linked graphs provide meaningful insights as a whole, but in many cases a singular subgraph can independently prove to be a valuable asset.

Clinical, proteomic, and pharma knowledge graphs are complex aggregations of constituent sub graphs. These linked graphs provide meaningful insights as a whole, but in many cases a singular subgraph can independently prove to be a valuable asset.