Neo4j

The tools support building knowledge graph-grounded agents with low- or no-code workflows, ontology-based generation, GraphRAG, advanced reasoning, and cloud deployment.

Neo4j Aura Graph Analytics runs at least 65 graph algorithms on any cloud and data platform without ETL.

Neo4j AuraDB is a graph database for the cloud.

Analyze relationships in data to improve predictions and discover insights, using Graph Data Science, Neo4j's analytics & machine learning solution.

Follow the Neo4j graph database blog to stay up to date with all of the latest from the world's leading graph database.

Explore Neo4j blog posts on Developer: tutorials, use cases, and news on graphs, knowledge graphs, and connected data.

Dive into the world of graph technology. Find graph database resources from white papers to videos that explain graph technology and more.

Neo4j is acquiring GraphAware, a provider of intelligence analysis software for government agencies.

The page provides Neo4j news, press releases, media coverage, awards, customer stories, executive insights, and press resources.

The page lists current graph database job opportunities at Neo4j and provides information about life at the company.

The page lists pricing for Neo4j AuraDB, a fully managed cloud graph database service, and self-hosted graph database options.

The page introduces the Neo4j leadership team and discusses graph database technology.

Neo4j helps organizations use connections, influences, and relationships in data to realize business value.

The page offers contact with Neo4j by phone or email.

Neo4j connects data as it is stored and supports complex queries at scale and speed through its graph data platform.

Raymond James Financial uses **knowledge graphs** to enhance AI-driven financial services by connecting data and ensuring accuracy. The company leverages Neo4j’s graph technology to validate AI-generated insights against trusted sources, maintaining 100% precision before deployment. AI agents now dynamically query data, enabling financial advisors to analyze products and account balances through natural language queries instead of fixed dashboards. Raymond James also launched **Raimond**, its proprietary AI operations agent, which automates routine tasks and shifts employee focus toward problem-solving.

Oct 2026 · SiliconANGLENews article

Neo4j field chief technology officer Jesús Barrasa argues that knowledge graphs can give AI agents shared enterprise context. Without it, teams may duplicate business knowledge in each agent, producing inconsistent results and making answers harder to explain. A governed knowledge layer captures data assets, concepts, policies and processes; organizations can build it incrementally across use cases, with large language models accelerating ontology construction. Barrasa also recommends measuring whether later agents take less effort to build and the cost of conflicting outputs.

Sep 2026 · SiliconAngleNews article

Neo4j launches GraphAware Financial Crime Intelligence, a product that helps banks and insurers detect and investigate financial crime by connecting data from separate systems into a queryable graph. Its four-stage workflow covers suspicious-pattern detection, deduplicated alerts, graph-based investigations, and recording decisions with evidence and provenance; each case also adds to a reusable knowledge layer. Neo4j says its software already supports fraud detection or compliance work at BNP Paribas, UBS, and Zurich Insurance.

Sep 2026 · SiliconAngleNews article

Neo4j is building Graph Retrieval-Augmented Generation into its developer workflow to give AI agents business context. The approach combines vector search with relationship-aware retrieval, which the company says can make agent decisions more traceable; theCUBE’s research reports that 90% of enterprises are adopting AI agents while an approximately 30% operational-readiness gap remains. Neo4j’s GraphAware acquisition reflects its ambitions to serve as an intelligence layer for agentic AI.

Sep 2026 · SiliconAngleNews article