Unlocking Hidden Potential: A Semantic Approach towards SFIA Competency Mapping in RDF
Semantic Partners put in action their SFIA RDF conversion: semantic use cases with SFIA, RDF graphs, vector search and LLMs
Improving Retrieval Augmented Generation accuracy with GraphRAG | Amazon Web Services
Lettria, an AWS Partner, demonstrated that integrating graph-based structures into RAG workflows improves answer precision by up to 35% compared to vector-only retrieval methods. In this post, we explore why GraphRAG is more comprehensive and explainable than vector RAG alone, and how you can use this approach using AWS services and Lettria.
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,
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How can we reduce the ambiguity between knowledge graph and ontology?
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
How can we reduce the ambiguity between knowledge graph and ontology?
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…
An Easy Way to Comprehend How GraphRAG Works
Examples to help you understand the GraphRAG mechanism
Introducing the Neo4j Text2Cypher (2024) Dataset
Authors: Makbule Gulcin Ozsoy, Leila Messallem, Jon Besga
Agentic AI and Knowledge Graph definitions
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
Knowledge Graph
Diffbot GraphRAG LLM
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
Diffbot GraphRAG LLM
Ontologies and knowledge graphs are the secret sauce for AI
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 and knowledge graphs are the secret sauce for AI
Knowledge Representation Markup Language (KRML)
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
How to Build a Graph RAG App
Using knowledge graphs and AI to retrieve, filter, and summarize medical journal articles
Predictions for Knowledge Graphs in 2025
Here are My Predictions for Knowledge Graphs in 2025! 🔵 GraphRAG via Ontologies: A range of GraphRAG frameworks and products will emerge, offering…
Predictions for Knowledge Graphs in 2025
OpenSPG (Semantic-Enhanced Programmable Graph) is a new generation of enterprise knowledge graph (EKG) engine, bidirectionally enhanced by LLMs and knowledge graphs
OpenSPG (Semantic-Enhanced Programmable Graph) is a new generation of enterprise knowledge graph (EKG) engine, bidirectionally enhanced by LLMs and knowledge…
OpenSPG (Semantic-Enhanced Programmable Graph) is a new generation of enterprise knowledge graph (EKG) engine, bidirectionally enhanced by LLMs and knowledge graphs
Semantic Web and AI: Can we finally realize the vision?
Great presentation by Ora Lassila on "Semantic Web and AI: Can we finally realize the vision?"
Semantic Web and AI: Can we finally realize the vision?
metaphacts & The Knowledge Graph Conference Launch the New Resource Hub
Learn all about the brand-new Knowledge Graph Conference Resource Hub (built by metaphacts) and explore past KGC talks, presentations, and workshops.
Exploring News at Scale with On-the-Fly Graphs
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…
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
Developer’s Guide: How to Build a Knowledge Graph
Read this developer's guide to learn everything you need to know to start building knowledge graphs.
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
Hypermode Knowledge Graph + AI Challenge
Build a model-native app using knowledge graphs and the open source Modus API framework
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
The Pragmatic Evolution of Graph Data Models in Agentic Systems
The Pragmatic Evolution of Graph Data Models in Agentic Systems 🔬 The selection and implementation of appropriate graph paradigms for agentic systems…
The Pragmatic Evolution of Graph Data Models in 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 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
KGC Resource Hub
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…
KGC Resource Hub
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
GraphRAG using LangChain
codes explained with example, Generative AI
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.