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

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 ...

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

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...

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.

They say a lot can happen in a week in politics. So imagine how much can change in a year within the world of AI! Even 12 months ago, Gen AI still wasn’t mainstream worldwide. But by the end of 2025, ...

Dynamic family data entry, deletion, and relationship querying using AIML + Neo4j + Streamlit. stage 2's Prolog/Python reasoning layer has been replaced with a Neo4j graph database. The AIML chat ...

Tracing product flow Analyzing supplier dependencies Tracking supplier risks and dependency chains Understanding APIs (Active Pharmaceutical Ingredient) dependencies and connections Identifying risks ...

In this paper, based on the framework of "OS Network Literary Theory" proposed by the author, I propose a methodology for converting literary texts into graph structures consisting of nodes and edges.

This is an in-person hackathon in San Francisco for selected participants. Capacity is limited to 30 teams, teams must include 3–5 members, and there is no online or hybrid participation. Build ...