This Week in Neo4j: Context Graphs, Dify, Cypher, GraphRAG and more

This edition of "This Week in Neo4j" highlights the latest developments in the world of graph databases, focusing on making AI more explainable through context graphs, which capture the reasoning and decision history behind events. The new Neo4j Dify plugin is introduced, allowing large language models to interact with graphs using natural language, thereby simplifying the creation of conversational or agent-driven workflows. The "Byte-Sized Cypher" video series is launched to make learning graph queries approachable, and a quick guide on building a multi-agent GraphRAG system using Neo4j and Google ADK is featured, showcasing the orchestration of graph-aware agents for complex problem-solving. Upcoming events such as the NODES AI conference and various workshops are announced, alongside a feature on community member Ashok Vishwakarma, who will speak on using knowledge graphs to trace AI agent decisions.