Graph algorithms

A Practitioner's Guide to Graphs - Tim Ainge, Good Collective

A Practitioner's Guide to Graphs - Tim Ainge, Good Collective

A speed-run through the fundamentals of graphs for AI engineers, covering how to build effective graphs from unstructured text using schema-first approaches and entity resolution, and then exploring powerful graph-native algorithms like Personalized PageRank, Shortest Path, and Subgraph Matching, all illustrated with real-world applications to create smarter, cheaper, and more reliable AI solutions.

923: Graph Algorithms, GraphRAG and Causal Graphs — with Graph Guru Amy Hodler

923: Graph Algorithms, GraphRAG and Causal Graphs — with Graph Guru Amy Hodler

Graph analytics expert Amy Hodler explores the power of graph data structures, covering fundamental concepts, graph algorithms like PageRank, and their application in fraud detection and supply chain optimization. She delves into the emergence of Graph RAG for enhancing AI systems and discusses the future of graphs as memory for AI agents and in causal inference.