Building GraphRAG Systems with Structured and Unstructured Data

Learn to build GraphRAG systems that transform raw data into intelligent, context-aware agents in this 53-minute tutorial led by Alison Cossette, Data Science Strategist at Neo4j. Extract and integrate both structured and unstructured data into knowledge graphs, then design retrievers that enhance precision and relevance in RAG pipelines. Deploy GraphRAG outputs in agentic workflows to improve reasoning and decision-making capabilities. Gain hands-on experience architecting and operationalizing real-world GraphRAG systems that can effectively process diverse data types and deliver more accurate, contextually relevant responses for AI applications.