Menu

1 / 6

Beyond the Chunk: How GraphRAG Teaches AI to Reason, Not Just Retrieve

DEV Community·Seenivasa Ramadurai·6 months ago
#cLygPlkb
#ai#llm#nlp#graphrag#entities
Reading 0:00
15s threshold

Introduction

To understand knowledge graphs, you first need to grasp three core concepts: entities , relations , and triples . Imagine a knowledge graph as a network that models the real world using nodes and connections . In this network, an entity is any distinct thing or object such as a person , city , or company . For example, “Sreeni”, “Plano”, and “Caterpillar” are all entities.

A relation describes how two entities are connected, such as “ lives_in ”, “ works_at ”, or “ located_in ”. Relations give meaning to the links between entities by defining how one entity is associated with another.

A triple is a simple statement that combines two entities and a relation , forming a fact: for instance, (“Sreeni”, “lives_in”, “Plano”) says that Sreeni lives in Plano . Triples are the building blocks of knowledge graphs, allowing you to represent complex information as a set of simple, connected facts.

Let's be real for a second.…

Continue reading — create a free account

Join HashtagPLUS to read full articles, follow hashtags, vote, and join the conversation.