How to Build an Amazon-Scale Knowledge Graph for GraphRAG

In this Community Call, we are joined by Graph.Build who'll take the 2023 Amazon Reviews dataset of 571M+ reviews with second-level timestamps, rich item metadata (price, images, attributes) and “bought-together” link graphs to show the steps of turning it into a governed property knowledge graph. With a GraphRAG layer on top, you can ask questions like: “Why did ratings drop for Model X in Sept 2023?” or “Which accessories are most often co-purchased by similar cohorts, and what explanations do power users give?”.

What You’ll Learn

• Model & Build: Designing an enterprise-ready graph model (users <-> reviews <-> items <-> ‘bought-together’ links), mapping semi-structured and structured sources in Graph.Build
• Schema: Generating Memgraph-ready schema and ingesting into database
• GraphRAG in Practice: How to set up a GraphRAG pipeline on Memgraph on top of the Amazon Reviews dataset