Skip to content

Constructing a Knowledge Graph with LLMs

Course Duration
2 hours
Categories
Generative AI Processing Advanced Generative AI

Course Description

In this hands-on course, you will use the knowledge gained in the Neo4j & LLM Fundamentals course to convert unstructured text content and turn it a Knowledge Graph that can be queried through natural language using GPT-4’s Cypher generation.

Prerequisites

This course relies heavily on the information contained in the Neo4j & LLM Fundamentals course. If you have not already done so, we recommend completing this course first.

We also assume a basic understanding of Python. It is not necessary, but you may also benefit from taking the Building Neo4j Applications with Python course to understand how the Neo4j Python Driver works.

Duration

2 hours

What you will learn

  • How to construct a Knowledge Graph using unstructured data

  • How Langchain agents can be used to improve the responses from LLMs

  • Retrieval Augmented Generation (RAG)

  • Langchain Agents and QA Chains

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.

Feedback

If you have any comments or feedback on this course you can email us on graphacademy@neo4j.com.

Course Coming Soon

We are currently working on this course. Fill in the form below to register your interest and we will contact you when it is ready.