What is Knowledge Graph?
It is a structured information network that connects relationships between data and concepts.
Overview
A knowledge graph is a structured data model that connects the relationships of data together like a map. In this way, artificial intelligence can easily discover hidden connections between seemingly independent information.
How it works
Information is recorded in the form of nodal points and lines connecting these points. For example, an employee relationship is established between a person node and a company node.
Where it is used
It is used to deliver more accurate results in search engines and to analyze complex corporate data.
Commonly confused with
It is not an ordinary Excel table or list because the relationship between the data is important here rather than the data itself.
Frequently asked questions
What is the difference between knowledge graph and RAG?
When searching RAG documents, the knowledge graph maps the logical relationships of concepts in those documents.
Why is it called graphics?
It is called this name because it is mathematically a network structure consisting of points and lines.
Related terms
Related tools
This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →