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,…
❓How Can Graph Neural Networks Enhance Recommendation Systems by Incorporating Contextual Information? Traditional recommendation systems often leverage a…
RDF Sketch, a complete rewrite of our VS Code extension for visualizing and exploring RDF files
🎅 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
RDF Sketch, a complete rewrite of our VS Code extension for visualizing and exploring RDF files
Can Graph Learning Improve Planning in LLM-based Agents?
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...
Graph_RAG: A Flask app running GraphRAG for healthcare, made with Vertex AI and Neo4j, to be deployed in a container
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
Building Knowledge Graphs with LLM Graph Transformer
🧱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
Building Knowledge Graphs with LLM Graph Transformer
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph semantic distance metric
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph…
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph semantic distance metric
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…
Using LLMs in each stage of building a Graph RAG chatbot: A case study
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
Transforming Data into Dialogue: Knowledge Graphs and Ontologies at the Heart of AI-Powered SEO | LinkedIn
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
Capgemini: a perspective on the art of semantic interoperability and how to use it to create relevant data dialogs in data ecosystems.
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…
a perspective on the art of semantic interoperability and how to use it to create relevant data dialogs in data ecosystems.
New Year's Resolutions for your Knowledge Graphs | LinkedIn
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 + Demo
Why someone in a regulated industry should invest in #GraphRAG is something we have already discussed here: https://lnkd.in/d5ykdD7u With the associated…
Why someone in a regulated industry should invest in hashtag#GraphRAG
Panama Papers Investigation using Entity Resolution and Entity Linking
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
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…