Enterprises are facing a context problem — and models alone are not enough to solve it.
Graph databases, which connect data with intelligent context that models and agents can better understand, are becoming a critical part of application development. Neo4j Inc., a leader in graph technology, is focused on supporting developers with its AI-powered graph solutions.
“From an AppDev perspective, the value of technologies such as Neo4j is that they give developers a way to represent the relationships, dependencies and business context that AI applications need to reason effectively,” said Paul Nashawaty, principal analyst for theCUBE. “Moving from experimentation to production requires more than embedding an LLM into an application. It requires trusted, connected data that AI can retrieve, understand and act upon.”
This month’s GraphSummit will feature leaders and experts in graph technology, with an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. Don’t miss theCUBE’s event coverage to learn more about Neo4j’s role in the agentic AI era and the evolution of graph systems. (* Disclosure below.)
Building intelligent context into agentic AI
TheCUBE’s AppDev research shows that 90% of enterprises are actively adopting AI agents but an approximately 30% operational-readiness gap remains between AI experimentation and production-scale deployment, according to Nashawaty. Neo4j’s graph solutions are intended to close that gap by giving agents consistent context across different systems.
“As agents move from copilots that answer questions to systems that take action, the ability to understand what is connected to what, why that relationship matters and what actions are safe becomes foundational,” Nashawaty said. “That makes the graph less of a specialized database technology and more of a potential knowledge layer for the next generation of enterprise applications.”
Neo4j is now building Graph Retrieval-Augmented Generation directly into its developer workflow. GraphRAG combines vector search with relationship-aware retrieval, enabling agents to understand business context and provide a more traceable basis for their decisions.
The company’s recent acquisition of GraphAware further points to its ambitions as an intelligence layer for agentic AI. While Neo4j is not a direct competitor for Palantir, it does provide an alternative to Palantir Gotham, a data analysis and decision-making platform, Nashawaty pointed out.
“Neo4j is positioning the graph as a knowledge and reasoning layer for AI applications, while Palantir’s Ontology is more tightly coupled to its broader operational platform,” he said. “Neo4j’s acquisition of GraphAware and its explicit positioning as an open-standard alternative to Palantir Gotham, however, shows that the company is moving beyond being a database provider and directly into intelligence and AI-driven decision support.”
TheCUBE event livestream
Don’t miss theCUBE’s coverage of GraphSummit on Sept. 24. You can also access theCUBE’s exclusive content on demand after the event broadcast.
How to watch theCUBE interviews
There are several ways to follow theCUBE’s coverage of GraphSummit, including theCUBE’s dedicated website and YouTube channel. You can also find coverage from theCUBE events on SiliconANGLE.
TheCUBE podcasts
SiliconANGLE’s “theCUBE Pod” is available on Apple Podcasts, Spotify and YouTube, making it easy to follow the program on the go. During each podcast, SiliconANGLE’s John Furrier and Dave Vellante unpack the biggest trends in enterprise tech — from AI and cloud to regulation and workplace culture — with exclusive context and analysis.
SiliconANGLE also produces our weekly “Breaking Analysis” program, where Dave Vellante examines the top stories in enterprise tech, combining insights from theCUBE with spending data from Enterprise Technology Research. The program is available on Apple Podcasts, Spotify and YouTube.
Guests
During theCUBE’s coverage of GraphSummit, our analysts will talk with leaders and experts from Neo4j, Dell Technologies, Blitzy, Collibra, Qiagen, Raymond James, and more, about graph technology, connected data and the knowledge layer for enterprise AI.
(* Disclosure: TheCUBE is a paid media partner for GraphSummit. Neither Neo4j, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
