This Week in Neo4j: Graph Architecture, GraphRAG, Integration, Cloud Security and more

FEATURED COMMUNITY MEMBER: Moritz Wegener

Graph Architecture: Neo4j Launches Breakthrough Architecture to Unify Transactional and Operational Workloads

Infinigraph introduces a groundbreaking distributed architecture for Neo4j, enabling seamless horizontal scaling beyond 100TB by sharding graph property data across clusters while preserving a logically unified graph. Dan McGarth explains how developers can now run real-time transactional and analytical workloads in a single system. Embedding billions of vectors for RAG, fraud detection across massive datasets or traversing high-volume product graphs becomes possible without application rewrites or infrastructure duplication.

Datacamp: GraphRAG with LangChain and Neo4j

Adam Cowley and James Chapman have published a new GraphRAG course. It shows you how to move beyond plain vector RAG by building GraphRAG applications with Neo4j and LangChain. You’ll learn to extract structured entities and relationships from messy text, combine graphs and vectors in hybrid pipelines, and even store long-term chatbot memory as graph data – giving your LLM apps more accuracy, context and personalisation.

Integration: Rewire Your Integration Strategy: A Graph-First Approach With Neo4j and AI

In this post, Pierre Dahlman outlines a graph-first approach to modern integrations – making AI a tool and a reasoning partner within your integration workflows.
He outlines how structuring people, processes and systems into a knowledge graph enables AI agents to intelligently manage and adapt integration logic, enhancing flexibility and efficiency while preserving human oversight.

Security: Elevating Cloud Security Using a Graph-Based Approach

Roy Maor introduces how graph theory strengthens cloud security by modelling dynamic cloud environments – identities, compute, network, storage – as connected asset graphs. Continuous graph-based mapping reveals hidden attack paths and offers proactive risk insights using Neo4j’s graph analytics capabilities.

POST OF THE WEEK:
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