This Week in Neo4j: Path Type, OpenSanctions, LangChain, Kubernetes, GraphXR, and More

This week, there is a new graph database plugin for IntelliJ to try out. The plugin provides useful developer features for working with graph databases, such as syntax highlighting and autocompletion for Cypher and connecting to and querying local and remote graph databases. It supports Neo4j 3.4+ (Bolt), including AuraDB, and is maintained by Alberto Venturini.

For the fun of it, you can solve this graph-themed crossword puzzle for Global Graph Celebration Day.

Yolande Poirier


David has 10 years of experience designing and building graph solutions that surface meaningful insights. His background includes clinical practice, medical research, software development, and cloud architecture. You can connect with him on LinkedIn.

In his NODES 2022 presentation, he demonstrates how to shorten time to value by quickly developing a standalone application using Streamlit. Watch his talk!

GRAPH DATABASE: The Power of the Path — Part 1
Kees Vegter begins a series of posts about the Cypher path type. He explains the path is not a specific entity to be stored in the database but a type to capture the structure of nodes and relationships as a result of a query.
LLMs: Integrating Neo4j Into the LangChain Ecosystem
Tomaz Bratanic creates a project that integrates a graph database into LangChain, a library for building applications around LLMs like ChatGPT. The library provides the ability to enhance an LLM by giving it access to various tools and external data sources.
NEO4J LIVE: OpenSanctions

OpenSanctions is an open-source project that provides a structured database of people and entities that are subject to sanctions or other financial restrictions. It is intended to help individuals and organizations comply with international sanctions laws and facilitate research and investigative journalism into financial crime and corruption.

DEPLOYMENT: Neo4j 4.4 Community Edition on Kubernetes

Jennifer Abel sets up Neo4j on Kubernetes to kick off a multi-part blog describing a supply chain project to analyze transportation orders. In upcoming blogs, the team will analyze plans and compare them to actual results, collecting information on offers, pricing, and invoicing.

CHATGPT: Knowledge Graph With ChatGPT

Ganesh Srinivasan explains how he used ChatGPT to create a graph of the NIST catalog of security controls. He also uses the chatbot to create a graph representing the story of “The Boy Who Cried Wolf.”


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