This Week in Neo4j: Certification, Graph Analytics, Agentic AI, Knowledge Graph and more

Senior Developer Marketing Manager

June 7, 2025

3 min read

Welcome to This Week in Neo4j, your fix for news from the world of graph databases!

We are making June to Certification Month with a few Community Activities to help you get certified and show off your Neo4j Skills to the world. This edition also highlights how to unlock Graph Analytics directly in Snowflake, build agentic AI workflows with LangGraph and see why knowledge graphs are essential for reliable, enterprise-grade AI.

NODES 2025 is back on November 6 – our global, 24-hour graph dev conference spotlighting real-world apps, intelligent systems and all things Neo4j. The Call for Papers is closing soon! You only have until June 15 to share your code, models and graph-powered insights with the community!

Happy Graphing,

Alexander Erdl

COMING UP!

Livestream: Neo4j Live: RushDB in Action – Graph-Native Tools for the AI Era on June 11
Conferences: Find us at AI Fokus, Stockholme & AWS Summit, Washington on June 10 & AWS Summit, Milan on June 18
Meetup: Meet us in Brussels, BE on June 11, Paris, FR on June 12, Barcelona, ES on June 17 & London, UK on June 19
All Neo4j Events: Webinars and More
GraphSummit Series: Transform Your Enterprise with Graph and GenAI – Next Stop: Paris on June 17

FEATURED COMMUNITY MEMBER: Ohad Levi

Ohad is passionate about data and performance and specialised in building best-in-class products in the conjunction between data, AI, and algorithm optimisation.

Connect with him on LinkedIn.

Ohad is a Featured NODES 2025 Speaker. His session is titled “Boosting RAG with Hybrid Search: Keyword + Vector for Maximum Relevancy”. He will be using hybrid search, combining lexical methods like BM25 with vector approaches such as k-NN and HNSW, to dramatically improve the accuracy and relevancy of RAG outputs.

CERTIFICATION: Neo4j Certified Developer

Do you want to show off your graph skills? The Neo4j Certification is your chance to prove it and validates your expertise in Cypher and core Neo4j concepts. Not sure if you’re ready? Complete our free GraphAcademy courses like Cypher Fundamentals, Data Modelling and Importing CSV Data to build the foundation you need.
To help you on your journey, we are conducting a bunch of Community Activities all of June, for example:

AMA on Courses & Certification with Adam Cowley on June 10
Neo4j Fundamentals Workshop with Martin O’Hanlon on June 18
AMA on Graph-Powered GenAI with Siddhant Aggarwal on June 23
Pass the Neo4j Certification Exam Like a Pro with Jennifer Reif on June 26

GRAPH ANALYTICS: Neo4j Graph Analytics for Snowflake: Bringing Graph-Powered Insights to the AI Data Cloud

Graph Analytics is now available directly from Snowflake’s AI Data Cloud. Anurag Tandon gives an overview of this serverless, zero-ETL approach which allows you to project graph structures from existing Snowflake tables, perform in-memory computations via Snowpark Container Services and write results back into Snowflake for seamless downstream analysis.
Join the LinkedIN Live on June 17 “Smarter Analytics, No ETL: Graph Analytics on Snowflake with Neo4j” for more!

AGENTIC AI: Exploring Agentic Workflows with Langgraph and Neo4j

In this article, Raajas Sode demonstrates how to build intelligent, graph-based workflows using LangGraph and Neo4j. By treating Python functions as nodes and edges, developers can design stateful, type-safe pipelines that integrate LLMs with tool-calling capabilities. The result is a system where agents can autonomously parse text, extract entities, and construct knowledge graphs, bridging unstructured input with structured graph representations.

KNOWLEDGE GRAPH: Why Your AI Needs a Knowledge Graph (and What Happens When It Doesn’t)

In this post, Emily Mai emphasises the critical role of knowledge graphs in enhancing AI systems. She discusses how integrating knowledge graphs with large language models (LLMs) through approaches like GraphRAG can reduce hallucinations and improve transparency. By making relationships explicit and structuring metadata into ontologies, knowledge graphs enable more accurate and context-aware AI responses, particularly in enterprise applications.

CONTINUOUS LEARNING

GraphAcademy: Get ready for that Neo4j Certification with “Intermediate Cypher Queries“
Get to Know Graph: Level up your graph skills with webinars packed with practical insights to help you build powerful apps
Learn on Your Schedule: Go deeper into graph technology on Neo4j’s On-Demand webinar library
New Webinar: Everything a Developer Needs to Know About MCP (Model Context Protocol) – AMER, EMEA, Asia Pacific
Workshops: Virtual Courses on Neo4j Fundamentals – AMER on June 18