GraphNews

❓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

In today’s digital scenario, where AI-driven search and discovery platforms are redefining the rules of online engagement, businesses must rethink how they structure and present their data. At Connected Data London 2024, I had the privilege to speak about the transformative power of knowledge graphs

2024 is coming to an end and the holidays provide a little time to rest. If you are searching for an interesting read I can recommend our latest Data Powered…

As you enjoy your holiday season, I suggest two resolutions to consider for the New Year: entity resolution and relation resolution. Both will need to be priority #1 for a prosperous new year.

Why someone in a regulated industry should invest in #GraphRAG is something we have already discussed here: https://lnkd.in/d5ykdD7u With the associated…

How Semantic Partners converted the SFIA competency framework dataset to RDF, and made it available through the SFIA foundation.

This article demonstrates how developers or investigative journalists can use Senzing entity resolution (ER) to work with unstructured documents. In particular, given that ER has been used with structured data sources to construct a domain-specific KG, the results of ER can be leveraged to customise entity linking (EL) downstream, for example using spaCy — as an alternative to off-the-shelf EL sources such as DBPedia.

Empower enterprises to turn strategy into action! As a Knowledge Engineer at In Parallel, you'll craft ontologies and knowledge graphs to drive AI-powered strategic alignment and execution. Joi...

ICYMI, here are the slides from our standing room only talk at NeurIPS yesterday! Concepts we discuss include: ➡️ Quantifying how much Transformer you need to… | 18 comments on LinkedIn

Help us shape the future of RDF shape languages: share your insights Are you working with #RDF shape languages like #SHACL or #ShEx? Whether you’re a…

My colleague Su Zun and I spent a very enjoyable 3 days last week with the linked data community at Connected Data London. It was fantastic, and I'm so looking…

Showcase of Data Transformation Process, Breakdown of 20 dev hours involved, Schemas used, Questions & Responses, and Graph created

Following up on participation in the Connected Data London conference last week, my latest blog post is "Ontologies vs. Knowledge… | 13 comments on LinkedIn

GraphRAG is a powerful retrieval mechanism that improves Generative AI applications by taking advantage of the rich context in graph data structures.

🚀 R2R : The Most Advanced AI Retrieval System We're excited to announce R2R's V3 API, bringing production-ready RAG capabilities to teams building serious AI… | 10 comments on LinkedIn