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Learn how to simplify complex agentic workflows by implementing GraphRAG to handle both structured and unstructured data retrieval in this 15-minute conference talk. Discover the challenges that arise when agentic workflows need to retrieve and reason across structured data requiring precise query execution and unstructured data typically handled through vector search in RAG systems. Explore how mapping key information into a knowledge graph can streamline these workflows while improving retrieval quality and reducing system brittleness. Master core GraphRAG concepts and understand how to integrate graph-based retrieval into agent tools. Access practical, end-to-end code examples that enable immediate implementation of these techniques in your own projects. Gain insights from an AI/ML graph specialist with expertise in GraphRAG systems, criminal fraud detection, entity resolution, and recommendation engines, recorded at the AI Engineer World's Fair in San Francisco.
