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How to Build a Knowledge Graph [Ft. Graphiti]
How to Build a Knowledge Graph [Ft. Graphiti]
Building Production Knowledge Graphs from Structured/Unstructured Data Sources
⏰ July 29 | PDT: 10:00 AM | EDT: 1:00 PM | CEST: 7:00 PM
About the workshop
This workshop demonstrates practical knowledge graph construction from diverse data sources using graph-native storage and processing techniques. Learn by doing, featuring a sports-focused knowledge graph case study & an introduction to Zep's Graphiti by Founder Daniel Chalef.
Who should attend?
ML infrastructure teams implementing knowledge extraction pipelines
Backend developers integrating graph storage with existing data workflows
Technical architects designing multi-source data integration platforms
AI engineers building context-aware retrieval systems
Key learning opportunities
Transform your existing data into knowledge graphs: Convert data, spreadsheets, and files into connected graph structures using practical ingestion techniques
Process structured and unstructured data sources: Build unified graphs from structured and unstructured data through automated extraction methods
Understand knowledge graph fundamentals: Learn what defines an effective knowledge graph, including design principles that optimize query performance and data relationships
Apply ontology concepts: Learn how ontologies structure knowledge domains, their role in graph design, and automated techniques for evolving schemas