How to Query a Knowledge Graph with LLMs Using gRAG

How to Query a Knowledge Graph with LLMs Using gRAG

Publication date: Nov 09, 2024

Lets delve into it. Introduction to Knowledge GraphsA Knowledge Graph (KG) is a structured representation of information that captures real-world entities and the relationships between them. How to Query a Knowledge Graph with LLMs Using gRAGGoogle, Microsoft, LinkedIn, and many more tech companies are using Graph RAG. Imagine a network where each point represents an entity such as a product, person, or concept and the lines connecting them represent the relationships they share. Theyre the technology behind many modern search engines, Retrieval-Augmented Generation (RAG) systems for Large Language Models (LLMs), and various query tools. Lets understand it by building one from scratch. But what exactly are Knowledge Graphs, and why are they so integral to these technologies? To illustrate this, lets consider building a

Concepts Keywords
Day Day
Graphs Entities
Microsoft Graph
Rich Graphs
Shareimage Interconnected
Large
Lets
Llms
Models
Nodes
Pieces
Query
Rag
Relationships
Tech

Semantics

Type Source Name
drug DRUGBANK Flunarizine

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