Based on a 100-point scoring system, candidates who score between 80-100 points are eligible for immediate admission as an ...

Abstract: This paper presents a personalized diet recommendation system that leverages a graph database and retrieval-augmented generation (RAG) with large language models (LLMs) to provide accurate ...

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By modeling complex transaction networks and enabling ...

In a bold move to cement its role at the heart of the generative AI (GenAI) revolution, Neo4j® has announced a $100 million ...

Neo4j®, the world’s leading graph intelligence platform, today announced a $100 million investment to accelerate its position as the default knowledge layer for ...

“Agentic systems are the future of software. They need contextual reasoning, persistent memory, and accurate, traceable outputs, all of which graph technology is uniquely designed to deliver,” said ...

Neo4j is investing to launch new agentic products and support 1,000 AI-native startups, marking its biggest GenAI push yet.

Graph database provider Neo4j Inc. today announced that it will invest $100 million to accelerate its role as what it calls ...

KIP transforms organizational knowledge into intelligent, queryable graph structures using Neo4j, providing semantic search capabilities far beyond traditional keyword matching. Built through ...

The Indian Legal KAG System is an advanced AI-powered platform that combines Knowledge Augmented Generation (KAG) with constitutional law expertise to provide comprehensive legal document analysis, ...