Agentic AI

Introducing Neo4j Virtual Graph: Graph reasoning on the data you already have

9 min read

Agent tools: What they are, how they work, and how AI agents use them

13 min read

How a Neo4j semantic layer makes your Text-to-SQL agent smarter and cheaper

12 min read

Building graph-based agentic systems: Failures, fixes, and how the answer gets there — Part 2

19 min read
Learn what agentic RAG is, how it works, which design patterns to use, and when it beats traditional RAG.

Agentic RAG: What it is, how it works, and when to use it

17 min read
GraphAcademy content is moved into Neo4j Aura, and an Aura Agent used to provide MCP server access to VS Code, Cursor, and Claude agents.

Can I use Aura Agents to create an MCP enabled Teacher?

8 min read

Connected Context and Persistent Memory: Neo4j Providers for the Microsoft Agent Framework

19 min read
Agent Memory

A knowledge layer for your agentic systems on Google Cloud

4 min read
Expensive AI models may sound smart, but without context, they don’t actually understand your business. It’s Ferris Bueller’s Ferrari with nowhere to drive. All engine. No roads.

The context gap: Why your smart-sounding AI struggles to reason

4 min read