Graphs to Graph Neural Networks: From Fundamentals to Applications — Part 2c: RDF vs.
Knowledge graphs are rapidly gaining traction as a way to store and query complex, interlinked data. Two major approaches dominate this…
GraphNews
Chatting with your knowledge graph
Enabling an LLM to chat directly with structured graph data
A comparison between ChatGPT and DeepSeek capabilities writing a valid Cypher query
Today, I conducted a comparison between ChatGPT and DeepSeek chat capabilities by providing them with a schema and a natural language question. I tasked them…
a comparison between ChatGPT and DeepSeek chat capabilities by providing them with a schema and a natural language question. I tasked them with writing a valid Cypher query to answer the question.
Multimodal Graph RAG (mmGraphRAG): Incorporating Vision in Search and Analytics - Enterprise Knowledge
David Hughes presented “Unleashing the Power of Multimodal GraphRAG: Integrating Image Features for Deeper Insights” at Data Day Texas 2025.
G.V() 3.14.38 Release Notes: Now with Support for Neo4j, Memgraph, Neptune Analytics, Query Editor Improvements, and more!
G.V() 3.14.38 Release Notes: Now with Support for Neo4j, Memgraph, Neptune Analytics, Query Editor Improvements, and more! For the first time ever, G.V() can be used on non Apache TinkerPop graph databases. It is now compatible with Neo4j, Neo4j AuraDB, Memgraph and Amazon Neptune Analytics using the Cypher querying language.
The GQL Standard is Published! Now What? | LinkedIn
Keith W. Hare, Convenor, ISO/IEC JTC1 SC32 WG3 Database Languages The GQL standard (ISO/IEC 39075:2024 Information technology — Database languages — GQL) was published in April, 2024.
Neo4j in 2024: Delivering on Our Vision of Cloud-First Graph Technology - Graph Database & Analytics
Discover Neo4j's 2024 product innovations in cloud-native graph technology, enhancing performance, scalability, AI innovation, and developer productivity.
GraphRAG interview — Alonso
As technology advances, large language models (LLMs) and information retrieval/management methods evolve at breakneck speed. Knowledge…
LangGraph AI Agents with Neo4j Knowledge Graph
A RAG System Built for Both Semantic Search and Structured Data Queries
Visual Cypher Builder — Querying Neo4j for everyone
Create Cypher queries with an easy-to-use drag-and-drop interface
𝗩𝗶𝘀𝘂𝗮𝗹 𝗤𝘂𝗲𝗿𝘆 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 prototype from Neo4j Labs
Stop struggling with Cypher syntax Turn graph queries into drag-and-drop Moving from SQL to Cypher presents a common challenge. You understand how data… | 54 comments on LinkedIn
𝗩𝗶𝘀𝘂𝗮𝗹 𝗤𝘂𝗲𝗿𝘆 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 prototype from Neo4j Labs
After 50 Years, What's Next for SQL?
Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It's had impressive staying power since it was first coined the Structured Query English Language in the mid-1970s. It's survived and thrived through the dot-com era and the proliferation of cloud technology. In essence, SQL is a technology that evolves.
PG-Schema: Schemas for Property Graphs | Proceedings of the ACM on Management of Data
Property graphs have reached a high level of maturity, witnessed by multiple robust
graph database systems as well as the ongoing ISO standardization effort aiming at
creating a new standard Graph Query Language (GQL). Yet, despite documented demand,
...
Unified Knowledge Graph Model — RDF, RDF* vs LPG — The end of war
Knowledge Graph community is divided into RDF adopters and Property Graph folks. It is the ultimate question for everybody who starts a…
Introducing the Neo4j Text2Cypher (2024) Dataset
Authors: Makbule Gulcin Ozsoy, Leila Messallem, Jon Besga
Neo4j Positioned as a Visionary in the 2024 Gartner® Magic Quadrant™ for Cloud Database Management Systems - Graph Database & Analytics
We are proud to be named a Visionary in the 2024 Gartner® Magic Quadrant™ for Cloud Database Management Systems.
Guide to Graph Databases: Key Technologies, Query Languages, and Use Cases – Knowledge Management
W3C Semantic Technology Standards | LinkedIn
For newcomers into the world of semantic technology and knowledge graphs, the diagram above illustrates some of the key languages that you may want to look into. RDF RDF defines the very lowest level building blocks of how graphs can be represented.
Introducing the Fine-Tuned Neo4j Text2Cypher (2024) Model
Authors: Makbule Gulcin Ozsoy, Leila Messallem, Jon Besga
Introduction to the graph technology landscape
The world of graph technology is vast and evolving. We're here to help you make sense of the key trends and players.
Building Knowledge Graphs with LLM Graph Transformer
A deep dive into LangChain’s implementation of graph construction with LLMs
Announcing New Aura Import Services
PostgreSQL to Graph querying in less than 5 minutes
Unum · UStore 0.13.12 documentation
now publishers - Modern Techniques For Querying Graph-structured Databases
Publishers of Foundations and Trends, making research accessible
Turn Your CSVs Into Graphs Using LLMs
Learn how to turn CSV files into graph models using LLMs, simplifying data relationships, enhancing insights, and optimizing workflows.
What is the path in this supply chain that leads to the least CO2 emissions?
If you care about sustainability, I have a data challenge to pull your hair out. What is the path in this supply chain that leads to the least CO2 emissions?…
What is the path in this supply chain that leads to the least CO2 emissions?
graphgeeks-lab/awesome-graph-universe: A curated list of resources for graph-related topics, including graph databases, analytics and science
A curated list of resources for graph-related topics, including graph databases, analytics and science - graphgeeks-lab/awesome-graph-universe
Awesome Graph Universe 🌐
Welcome to Awesome Graph Universe, a curated list of resources, tools, libraries, and applications for working with graphs and networks. This repository covers everything from Graph Databases and Knowledge Graphs to Graph Analytics, Graph Computing, and beyond.
Graphs and networks are essential in fields like data science, knowledge representation, machine learning, and computational biology. Our goal is to provide a comprehensive resource that helps researchers, developers, and enthusiasts explore and utilize graph-based technologies.
Feel free to contribute by submitting pull requests! 🚀
The Fastest Graph Database in the World?
We have some pretty exciting news! We have filed an international patent on our new graph database query algorithm. We have also done some further benchmarking tests, and the results are pretty astounding.
Vendors offering intelligent document processing, graph technologies (knowledge graphs and graph databases) for GraphRAG and LLM fine tuning, enterprise retrieval, and services surrounding these technologies, will be best positioned for this new wave of data and metadata management needs
💡 The relevance, trustworthiness and quality of AI and #GenAI applications is increasingly dependent on the quality of enterprise private data and documents…
Vendors offering hashtag#intelligentdocumentprocessing, hashtag#graphtechnologies (hashtag#knowledgegraphs and hashtag#graphdatabases) for hashtag#GraphRAG and hashtag#LLMfinetuning, hashtag#enterpriseretrieval, and services surrounding these technologies, will be best positioned for this new wave of data and metadata management needs
Implementing GraphReader with Neo4j and LangGraph
Elevating RAG accuracy and performance by structuring long documents into explorable graphs and implementing graph-based agent systems