GraphRAG — The Card Game
GraphRAG explained with an imaginary quiz game and not a single line of source code
GraphNews
RAG on Graph DB using Fixed Entity Architecture: make you retrieval work for you
Applications of Graph approaches in RAG — current state
Graph RAG into Production — step-by-step
A GCP native, fully serverless implementation that you will replicate in minutes
LightRAG: A More Efficient Solution than GraphRAG for RAG Systems?
In this video, I introduce LightRAG, a new, cost-effective retrieval augmented generation (RAG) method that combines knowledge graphs and embedding-based ret...
The current challenge in building KGs from unstructured documents using LLMs is ensuring that the extracted triplets fully capture the provided context
⛔ The current challenge in building KGs from unstructured documents using LLMs is ensuring that the extracted triplets fully capture the provided context. 🟢…
Using GenAI to Create Learning Graphs
Data Structures for Hyper-Personalized Lesson Plans
File Directory for large document RAG systems
Document Metadata Generation, File Directory & Two-Step Information Retrieval Processes
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.
Graphs Neural Networks (GNNs) and LLMs are colliding in exciting ways
Graphs Neural Networks (GNNs) and LLMs are colliding in exciting ways. 💥 This survey introduces a novel taxonomy for categorizing existing methods that… | 19 comments on LinkedIn
Tricky and innovative ways to create Knowlege Graphs
“Ever wondered how to find or build Knowledge Graphs that power everything from recommendation engines to drug discovery?”
The 3 layers of Agentic Graph RAG
The 3 layers of Agentic Graph RAG 💬 The 3 layers of agentic graph RAG represent a significant advancement in AI-driven knowledge systems. These layers… | 17 comments on LinkedIn
Interesting Scientific Idea Generation Using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders
Researchers created a knowledge graph based on 58 million journal papers to fuel personalized research ideas for scientists. Over 4400 ideas generated by the… | 29 comments on LinkedIn
Understanding Graph Types and Ontological-Driven Data Structures
Hello wonderful people, I’ve noticed some common misconceptions about graphs and AI circulating on LinkedIn, and I thought it might be helpful to share some insights to clarify these topics. I hope…
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Why great enterprise search and generative AI requires a comprehensive knowledge graph
Glean | Glean’s knowledge graph and signals enables it to provide state-of-the-art hybrid search and generative AI that only gets better over time.
The Forrester Wave™_ Enterprise Data Catalogs, Q3 2024 _ 0013n00001u7pZfAAI _ 4c3ecef8.pdf
The Forrester Wave™: Enterprise Data Catalogs, Q3 2024 | 0013n00001u7pZfAAI | 4c3ecef8
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Financial Crime and Corruption Network Motifs
In this series of posts I make an appeal to organize global financial institutions and RiskTech vendors to collaborate on an open-source repository of financial risk patterns called network motifs to…
Grounding AI in reality with a little help from Data Commons
Knowledge-driven data access means accessing data through an ontology used to represent its meaning at a conceptual level
🧠 Knowledge-driven data access means accessing data through an ontology used to represent its meaning at a conceptual level. 🔎 Connecting an enterprise…
Knowledge-driven data access means accessing data through an ontology used to represent its meaning at a conceptual level
Graph theory
I work with graphs every day. This simple question left me speechless. During a meeting with a customer I started a sentence saying "In graph theory this… | 28 comments on LinkedIn
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! 🚀
Simplifying Complex Graphs with Nested Nodes and Edges
Simplifying Complex Graphs with Nested Nodes and Edges: A Challenge Navigating massive graphs with nested nodes, including groups within groups, can feel like… | 34 comments on LinkedIn
Simplifying Complex Graphs with Nested Nodes and Edges
Components of a Semantic Mindset | LinkedIn
A recent post I wrote on LinkedIn hit a nerve. Talking about information/semantic rich projects failing due to the lack of organizational commitment is not new, for me or others in the field.
UltraQuery: going beyond simple one-hop link prediction to answering more complex queries on any graph in the zero-shot fashion better than trainable SOTA
📣 Foundation models for graph reasoning become even stronger - in our new NeurIPS 2024 work we introduce UltraQuery: going beyond simple one-hop link…
UltraQuery: going beyond simple one-hop link prediction to answering more complex queries on any graph in the zero-shot fashion better than trainable SOTA
Consolidation in the Semantic Software Industry - Enterprise Knowledge
As a technology SME in the KM space, I am excited about the changes happening in the semantic software industry. Just two years ago, in my book, I provided a complete analysis of the leading providers of taxonomy and ontology management systems, as well as graph providers, auto-tagging systems, and more. While the software products I evaluated are still around, most of them have new owners.
RDF vs LPG: Friends or Foes?
RDF vs LPG: Friends or Foes? For over a decade, ever since #KnowledgeGraphs (KGs) gained prominence, there has been intense competition between #RDF (also…
RDF vs LPG: Friends or Foes?
GraphRAG (beyond the hype)
After a period of more than a year (can't believe time flew by so quick!), I had the pleasure of going back for a second time on the Practical AI Podcast with…
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.
How to Generate a Knowledge Graph from Text Using a 3.8B Parameter Model
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How to Generate a Knowledge Graph from Text Using a 3.8B Parameter Model