Learn
Graph databases, without the jargon.
Short, honest guides to the ideas behind CognoDB — what a graph database is, how Cypher works, where GraphRAG helps, and when a graph is the wrong tool. Every code example runs on the free tier.
Concepts
Start here — the data model and why it's different.
GraphRAG
Grounding LLMs and agents in a graph, honestly.
What is GraphRAG?
GraphRAG grounds an LLM by traversing a knowledge graph instead of retrieving text chunks by similarity alone. Here's how it works, why it improves multi-hop answers, and how to build it.
7 min readGraph RAG vs vector RAG
Vector RAG retrieves by similarity; graph RAG retrieves by traversing relationships. A side-by-side comparison, where each wins, and why the 2026 answer is usually a hybrid of the two.
6 min readCypher
The query language, and why it reads like the question.
Guidance
Straight talk on where a graph fits and where it doesn't.
Start now
~98.7%
token efficiency at 2,000 entities — see the footnotes above
Read one, then run it.
The fastest way to understand a graph database is to query one. A free instance takes about a minute and no card.
First-graph path
LiveCreate a free instance
No card. Ready in about a minute.
Connect your driver
bolt+ssc:// URI into the driver you already use.
Write two MERGEs
That's the entire shape of agent memory.
Point an agent at it
One MCP config block. No integration code.