NODES: Watch Sessions What an event! On November 6, all eyes were on graph at NODES2025. Our tracks “AI Engineering, App Dev, Data Intelligence & Knowledge Graphs” had mindblowing session all day long. We are currently getting the recordings ready and will add them to our NODES 2025 playlist on YouTube as soon as we can. We streamed a few sessions live (including the one mentioned above) – so if you missed the day, you can start watching now!
RETRIEVERS: Implementing DRIFT Search with Neo4j and LlamaIndex In this article, Tomaz Bratanic demonstrates how to implement a “DRIFT” search workflow using LlamaIndex and Neo4j – starting with vector-based community summaries and then drilling down into detailed graph-based retrieval via Cypher queries. He shows how combining broad semantic embeddings with relationship-aware graph traversal elevates retrieval accuracy and context for complex document corpora.
GRAPH ANALYTICS: Find Similar Patient Journeys With Neo4j Aura Graph Analytics This article by Corydon Baylor explores how to model patient treatment trajectories as graphs in Neo4j Aura Graph Analytics and then apply algorithms such as node similarity and community detection to identify patients with similar care paths and group them into actionable cohorts.
AGENTS: Agentic Knowledge Graph Construction
This course from Andreas Kollegger teaches you how to build intelligent, multi-agent workflows that automatically extract, link, and structure entities into knowledge graphs. You’ll learn to move beyond simple RAG setups – designing agents to parse data, propose graph schemas, and load graphs into Neo4j for more accurate, contextual retrieval.
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