Building Knowledge Graphs with LLMs
Learn how to use Generative AI and LLMs to convert unstructured data into knowledge graphs.
In this 1-hour course, you will learn
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.
Knowledge Graphs
What a knowledge graph is and how it can support the operation of GenAI applications.
Unstructured Data
How a knowledge graph can be created from unstructured data using an LLM.
LLM Graph Builder
How to use the LLM Graph Builder to create a prototype knowledge graph and explore your data.
Query Knowledge Graphs
How to query a knowledge graph using Cypher.