Nanodiamonds and beyond: Designing carbon materials with AI at exascale

Carbon forms the graphite in pencils, the diamonds in jewelry and the molecules that make up every living thing. But under ...
TMCnet

C5i Signs Agreement to Acquire UK-based Datavid, Strengthening Graph Data Capabilities for Generative and Agentic AI Solutions

Datavid's expertise in graph data engineering and knowledge graphs for LLM grounding will further enhance C5i's capabilities in deploying business-ready generative and agentic AI solutions LONDON , ...
InfoWorld

How to create AI agents with Neo4j Aura Agent

Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to ...
IEEE

Effective Bug Detection in Graph Database Engines: An LLM-Based Approach

Abstract: Graph database engines play a pivotal role in efficiently storing and managing graph data across various domains, including bioinformatics, knowledge graphs, and recommender systems. Graph ...
GitHub

agd — Agent Graph Database

Git for AI agents. A content-addressed DAG store that captures what agents did and why. agd records every LLM interaction as a trace — messages observed, messages produced, tool calls, and their ...
GitHub

Agentic RAG for Dummies

Step-by-step tutorial perfect for understanding core concepts. Start here if you're new to Agentic RAG or want to experiment quickly. 2️⃣ Building Path: Modular Project Flexible architecture where ...
techobserver

Enterprises are turning to graph databases for AI grounding, fraud detection and data lineage, says Suhail Gulzar of Neo4j

Neo4j’s Suhail Gulzar explains why graphs are gaining traction in India for grounding GenAI with context, detecting networked fraud threats and enabling auditable data lineage. “The problem is not a ...
IEEE

Design of an improved model for real-time fault detection and localization using hybrid transformer-CNN and graph neural networks

Abstract: Accurate real-time fault detection, localization, and classification techniques are necessary to maintain grid stability and prevent faults. Traditional techniques have low accuracy rates, ...