These third-party projects greatly expand the ways agents and LLMs can draw on facts, documents, and conversations to deliver ...

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search optimization. Making your brand machine-readable and increasing its chances of being ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

This project is a Neo4j 5 reference architecture for pharmaceutical Continuous Direct Compression (CDC) manufacturing knowledge graphs. It is production-inspired demo data for information architecture ...

Neo4j has agreed to acquire GraphAware to expand AI-based intelligence analysis offerings The acquisition supports Neo4j’s $100 million AI investment road map The 2026 Intel Summit on Sept. 24 will ...

Neo4j, a leading graph intelligence platform, announced an agreement to acquire GraphAware, an intelligence analysis software company for government agencies—enabling Neo4j to launch a new generation ...

The vector database category is undergoing a shift in response to the needs of agentic AI. The retrieval-augmented generation (RAG)-to-vector database pipeline doesn't cut it anymore; agentic AI ...

Chances are you know the climate is changing and that means trouble. But what exactly is driving the climate crisis, how bad are things now and how much worse could they get? To answer those questions ...

Abstract: Retrieval-Augmented Generation over Knowledge Graphs (Graph RAG), a key technology for knowledge-intensive tasks, suffers from inference-time vulnerabilities that remain critically ...

Abstract: While Graph-based RAG enhances LLMs’ ability to retrieve and generate relevant information, it still relies heavily on prompt design, and the performance gap between open-source and ...

Aim Causal inference relies on correct background knowledge, which epidemiologists generally understand to come from academic experts. Our community-engaged study augments scientific domain knowledge ...

Retrieval-augmented generation (RAG) technology can empower large language models (LLMs) to generate more accurate, professional, and timely responses without fine-tuning. However, due to the complex ...