Built upon the shoulders of graph theory, the field of complex networks has become a central tool for studying real systems across various fields of resear

🧠 Visualizing Automatically Generated AI Semantic Networks🧠 Yesterday I shared an #automation that leverages #Claude3 in an iterative process to create… | 17 comments on LinkedIn

Exciting times for query languages as SC 32 publishes 39075 on GQL, read the highlights article here.

After many years of diligent work and thousands of person-hours of detailed reviews, the new ISO GQL standard is now available! This is… | 15 comments on LinkedIn

Sorry to those immersed in DSPy, but this might be the least magical DSPy RAG (retrieval-augmented generation) pipeline you’ve ever seen. The DSPy… | 29 comments on LinkedIn

Copyright 2024 Kurt Cagle / The Cagle Report There is an interesting tug-of-war going on right now. On one side are the machine learning folks, those who have been harnessing neural networks for a few years.

The Iterative Dance of the RAG Framework for Knowledge-Grounded Language AI ⭕ To truly unlock the potential of LLMs for open-ended question answering and…

The spaghetti has been cooking, and while there's still some work to do, I'm pleased to be able to share the 2024 DBMS Spaghetti chart (covering data from… | 29 comments on LinkedIn

🗣 TALK ALERT for GraphGeeks 🈂 Decoding Kanji Relationships 📅  April 30th 🕘  09:00 am PT | 18:00 CEST Registration 👉  https://lnkd.in/gkwGCczF  👈 Join…

The distinction between types and individuals is key to most conceptual modeling techniques and knowledge representation languages. Despite that, there are a number of situations in which modelers navigate this distinction inadequately, leading to pr

One blocker to more widespread deployment of knowledge graphs in AI is the belief that they are inherently a discrete form of knowledge…

A few years ago we started the "RDF community" to create a vendor-neutral place to discuss RDF, Knowledge Graphs, Semantic Web and Linked Data. I've finally…

The Rise of Graph Jobs, The Disappearance of Graph Technology? Join me for this fun presentation at KGC on May 8, 2024, in NYC, where I delve into a "State of…

This new era of « Active MetaData Era» could have been named GO Era for « Graphs & Ontologies ». Active metadata refers to metadata that is dynamic and…

Scientific Data - An open source knowledge graph ecosystem for the life sciences

The W3C RDF-star WG is currently debating a design issue which may greatly affect our chances of having a better alignment between RDF graphs and Labeled… | 13 comments on LinkedIn

AI Answers Questions on Any Knowledge Graph - No Training Required ... Imagine being able to ask complex questions about any knowledge graph and get accurate…

Entity resolved knowledge graphs result from applying entity resolution technology to graph data, resulting in graphs with much more utility.

A straightforward introduction to integrating language models (LLMs) with knowledge graphs (KGs) for enhanced intelligence.

In response to my last blog, LLMs and Knowledge — the study continues, I got a lot of questions LinkedIn, which I decided to answer in…

See how TigerGraph has integrated their massively parallel processing graph database and analytics platform with NVIDIA cuGraph to deliver 100x performance

Large-scale graph neural network (GNN) training presents formidable challenges, particularly concerning the scale and complexity of graph data. These challenges extend beyond the typical concerns of…

A practical guide to constructing and retrieving information from knowledge graphs in RAG applications with Neo4j and LangChain

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Are you tired of manually tracing package vulnerabilities across applications? The #AmazonNeptune team has a solution! As part of the newest release of the…

Learn more about what graph embeddings are and how they're used to accelerate real-time analytics. Find out about graph embedding algorithms and storage.

𝐔𝐧𝐥𝐞𝐚𝐬𝐡𝐢𝐧𝐠 𝐭𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐆𝐫𝐚𝐩𝐡 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: 𝟐𝟓 𝐓𝐨𝐩 𝐏𝐲𝐭𝐡𝐨𝐧 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬, 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬, 𝐓𝐲𝐩𝐞𝐬 𝐚𝐧𝐝… | 27 comments on LinkedIn

The next frontier of LLM applications: Structured Knowledge Representation

In this article we look at Research Graph as an information model , and an approach to connect and capture the connections between research outputs, researchers and research activities. We explore…

Unlocking the power of knowledge graphs in research catalogues