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

Michael Down, Global Head of Financial Services at Neo4j, tells RBI Editor Douglas Blakey that the fraud challenge for banks ...

Sudhir Hasbe, Neo4j's President and Chief Product Officer, on the strategic shift behind the GraphAware deal, what "open ...

The funding round was led by Norwest, with participation S Capital VC, Cerca Partners, and Oceans Ventures. Snowflake Ventures also participated as a strategic investor.

Model Context Protocol (MCP) has gained considerable momentum as a standard connector between LLM-powered tools and local systems, internal and external APIs, and data sources. From major clouds to ...

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a ...

Neo4j, the graph database from the US-Swedish company of the same name, is used by 76% of the Fortune 100, and its Australian customers include organisations in the healthcare, policing and banking ...

Lovelace, led by the former head of Google Cloud AI, says its platform will make LLMs and agentic AI systems more reliable and auditable. The lack of reliable context has become a critical barrier to ...

Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to production using low-code and autogeneration tools. Let’s dive in. You may be ...

Globally, unstructured data represents 80% to 90% of the world’s digital information. By 2025, that volume is expected to reach 175 zettabytes. Unstructured data is everywhere—medical images, ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...