Building Knowledge Graphs with LLMs

Course Duration: 2 hours
Categories: Generative AI

Learn how to use Generative AI and LLMs to convert unstructured data into knowledge graphs.

Course Description

In this hands-on course, you will learn how to create and query knowledge graphs using Large Language Models (LLMs).

You will use the Neo4j LLM Graph Builder to build knowledge graphs from unstructured data.

Finally, you will learn how to customize the data model and query the knowledge graph using Cypher.

Prerequisites

You should:

Understand graph and Neo4 fundamental concepts - Neo4j and Graph Fundamentals.
Have an understanding of GenerativeAI, LLMs, and vector indexes - Neo4j & GenerativeAI Fundamentals.
Be able to read and write simple Cypher queries - Cypher Fundamentals.

Duration

2 hours

What you will learn

What you will learn:

What a knowledge graph is and how it can support the operation of GenAI applications.
How a knowledge graph can be created from unstructured data using an LLM.
How to use the LLM Graph Builder to create a prototype knowledge graph and explore your data.
How to query a knowledge graph using Cypher.

This course includes

10 lessons
2 hands-on optional challenges
5 simple quizzes to support your learning

Get Support

If you find yourself stuck at any stage then our friendly community will be happy to help. You can reach out for help on the Neo4j Community Site, or head over to the Neo4j Discord server for real-time discussions.