How can we reduce the ambiguity between knowledge graph and ontology? The confusion arises because knowledge graphs are often Labeled Property Graphs:… | 103 comments on LinkedIn

Knowledge Graph community is divided into RDF adopters and Property Graph folks. It is the ultimate question for everybody who starts a…

Examples to help you understand the GraphRAG mechanism

Authors: Makbule Gulcin Ozsoy, Leila Messallem, Jon Besga

In the last few weeks, I’ve been diving into the world of #AgenticAI, and I found quite a mess with definitions, which creates a lot of misunderstanding… | 13 comments on LinkedIn

We're excited to publicly release the Diffbot GraphRAG LLM! With larger and larger frontier LLMs, we realized that they would eventually hit a limit in terms… | 48 comments on LinkedIn

𝐌𝐲 𝐛𝐨𝐥𝐝 𝐚𝐧𝐝 𝐨𝐧𝐥𝐲 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝟐𝟎𝟐𝟓: By December, everyone, their chatbot, and their agents will finally agree that ontologies… | 80 comments on LinkedIn

Ontologies Prevent Hallucinations in LLM-based Applications

What if creating Linked Open Data was less like coding and more like writing? Could anyone extend the Semantic Web by sharing a document? Publish a knowledge… | 13 comments on LinkedIn

Using knowledge graphs and AI to retrieve, filter, and summarize medical journal articles

Here are My Predictions for Knowledge Graphs in 2025! 🔵 GraphRAG via Ontologies: A range of GraphRAG frameworks and products will emerge, offering…

OpenSPG (Semantic-Enhanced Programmable Graph) is a new generation of enterprise knowledge graph (EKG) engine, bidirectionally enhanced by LLMs and knowledge…

Want to catch up on Graph Neural Networks? Now's the time! Graph Neural Networks (GNNs) have become a popular solution for problems that include network data,…

Great presentation by Ora Lassila on "Semantic Web and AI: Can we finally realize the vision?"

Learn all about the brand-new Knowledge Graph Conference Resource Hub (built by metaphacts) and explore past KGC talks, presentations, and workshops.

Join us for the first GraphGeeks Talk of 2025!! 🌐 "Exploring News at Scale with On-the-Fly Graphs" 🗓️ January 15th at 9:00 AM PT | 17:00 London Join…

❓How Can Graph Neural Networks Enhance Recommendation Systems by Incorporating Contextual Information? Traditional recommendation systems often leverage a…

🎅 Santa Came Early with RDF Sketch🎅 This holiday season, we’re excited to share a special gift from Zazuko to the community: RDF Sketch, a… | 11 comments on LinkedIn

Task planning in language agents is emerging as an important research topic alongside the development of large language models (LLMs). It aims to break down complex user requests in natural...

We are proud to be named a Visionary in the 2024 Gartner® Magic Quadrant™ for Cloud Database Management Systems.

Read this developer's guide to learn everything you need to know to start building knowledge graphs.

A Flask app running GraphRAG for healthcare, made with Vertex AI and Neo4j, to be deployed in a container (Cloud Run or ECS). - RubensZimbres/Graph_RAG

Build a model-native app using knowledge graphs and the open source Modus API framework

🧱Building Knowledge Graphs with LLM Graph Transformer A deep dive into LangChain’s implementation of graph construction with LLMs If you want to try out… | 32 comments on LinkedIn

The Pragmatic Evolution of Graph Data Models in Agentic Systems 🔬 The selection and implementation of appropriate graph paradigms for agentic systems…

SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph…

We're excited to announce the launch of the KGC Resource Hub (https://lnkd.in/gSaVmS8V), in collaboration with our friends at metaphacts GmbH! 🚀 The KGC…

How we used Kùzu in combination with LLMs in multiple stages of the Graph RAG pipeline to build a QA chatbot for the Connected Data London Knowledge Graph Challenge

codes explained with example, Generative AI