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Copyright 2024 Kurt Cagle / The Cagle Report From one of my readers: Hi Kurt, have you written any article on how a knowledge graph differ from inventory built using graph. We are in constant struggle to differentiate knowledge graph from inventory apps? Questions like can inventory systems built us

**!!!! Great Talk with Bradley Rees NVIDIA RAPIDS cuGraph lead at KDD 24 Conference !!** We had an excellent discussion about the cuGraph user experience in…

Google is the undisputed leader in web search – technically a monopoly in fact. The coverage of web properties (good and bad) is vast – about 400 billion documents – so in quantitative terms it's really very good.

What process and features are available for you to understand and iterate on the Schema, Graph Information, and Question interpretation.

Latest findings in multiple research directions for handling graph prediction and optimisation

Understanding the challenges of Generative AI in the age of open web. How GenAI technology can shape public discourse and information quality.

Introduction In my first article on LinkedIn, I discussed how to build an ontology from a corpus of text. My follow-up research for agnos.

Recent advancements in Large Language Models (LLMs) have showcased their proficiency in answering natural language queries. However, their effectiveness is hindered by limited domain-specific...

We're excited to announce the first release of SEOntology, an open-source framework developed to unify and standardize SEO data across the industry. SEOntology aims to address one of the pressing challenges in modern SEO: data fragmentation.

[vc_row][vc_column width=”1/2″ css=”.vc_custom_1724344160150{padding-right: 70px !important;}”][vc_column_text]In the era of AI, data quality has become a critical factor for successful implementations. A study by MIT Sloan Management Review found that 85% of executives believe AI will offer significant competitive advantages, yet only 39% have an AI strategy in place. This gap highlights the importance of foundational elements […]

Scott Meyer discusses LIquid, the graph database built to host LinkedIn, serving a ~15Tb graph at ~2M QPS.

Passing this along (because I think it shows how this field is evolving) but also to make a point. RAG is only half the story. Use RDF2Vec or a similar encoder…

There are numerous publicly available Resource Description Framework (RDF) datasets that cover a wide range of fields, including geography, life sciences, cultural heritage, and government data. Many of these public datasets can be linked together by loading them into an RDF-compatible database. In this post, we demonstrate how to build knowledge graphs with RDF linked data and openCypher using Amazon Neptune Analytics.

Taxonomies and ontologies together are increasingly described as semantic models or semantic structures.

A free GUI tool.

😎 Pretty proud to see Ontotext mentioned in more than 10 Gartner Hype Cycle reports over the last couple months! This demonstrates the success of our…

When you need fast and high-throughput graph extraction with better quality than Claude 3.5 Sonnet.

Using SPARQL and the Knowledge Graph for RAG

Recently, Retrieval-Augmented Generation (RAG) has achieved remarkable success in addressing the challenges of Large Language Models (LLMs) without necessitating retraining. By referencing an...

Here are the slides from our tutorial today at #kdd2024! Notebooks are available at the tutorial website: https://lnkd.in/ejTrYtfe | 16 comments on LinkedIn

Our world is composed of relationships. Who we know, how we interact, how we transact — graphs structure information in this way…

With Spanner Graph, you can analyze interconnected data using Google Cloud’s always-on, globally consistent, and virtually unlimited-scale database.

Now that W3C RDF Star will put Semantic Graphs on-par with Labelled Property Graphs, it is time to address the final barrier, and that is the developer…

Recent advancements in LLMs have sparked excitement about their potential to organize and utilize Knowledge Graphs. Microsoft's GraphRAG is a good starting… | 10 comments on LinkedIn

How MINPROMPT Uses Graph-Based Techniques to Optimize Data Augmentation ⁉ https://lnkd.in/e64JJyid The quality and quantity of training data remain…

Try out Artifacts created by Claude users

Technical communicators: understand these AI skills to form your new portfolio: terminology management, taxonomy, ontology, semantic layer, knowledge graph and knowledge management in general

This repo covers the basics and latest advancements in Graph Neural Networks. 15k+ GitHub ⭐. https://lnkd.in/e6_7uYt9

Microsoft's GraphRAG architecture surpasses traditional #RAG systems by integrating knowledge graphs with vector stores. By structuring information… | 24 comments on LinkedIn

The Necessary Multi-Step Retrieval Process in Graph RAG Systems 〽 Graph-based Retrieval-Augmented Generation (RAG) systems is a cutting-edge approach to… | 50 comments on LinkedIn