Master Knowledge Graph Retrieval-Augmented Generation with Neo4j

Master Knowledge Graph Retrieval-Augmented Generation with Neo4j

This course will teach you to enhance LLM performance using knowledge graph retrieval-augmented generation and Neo4j.

Intermediate

9 Lessons

3h

Certificate of Completion

This course will teach you to enhance LLM performance using knowledge graph retrieval-augmented generation and Neo4j.

AI-POWERED

Explanations

AI-POWERED

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This course includes

17 Playgrounds
6 Quizzes

This course includes

17 Playgrounds
6 Quizzes

Course Overview

This course will guide you in enhancing LLMs’ performance, response accuracy, and cohesiveness using knowledge graphs. You’ll learn to construct and refine knowledge graphs from raw text and use Neo4j for effective graph storage and querying. You’ll also learn to integrate knowledge graphs with LLMs, improving their performance. Ideal for data scientists, developers, and AI enthusiasts, this course provides the tools to advance your skills in modern AI technologies. Moreover, you’ll be introduced to utiliz...Show More

What You'll Learn

An understanding of the fundamental concepts of generative AI, large language models (LLMS), and retrieval-augmented generation (RAG)

Familiarity with the path from plain text-based retrieval-augmented generation to graph RAG

The ability to enhance the response accuracy of generative AI-powered applications and reduce hallucination using graph RAG

The ability to construct and enhance knowledge graphs using LLMs

Hands-on experience integrating knowledge graphs with LLMs to improve their performance and generative AI-powered applications

Hands-on experience using Neo4j for storing entities and relationships of knowledge graphs

What You'll Learn

An understanding of the fundamental concepts of generative AI, large language models (LLMS), and retrieval-augmented generation (RAG)

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Course Content

1.

Introduction to the Course

This chapter explores the integration of generative AI with knowledge graphs for enhanced data management.
2.

Constructing Knowledge Graphs

This chapter focuses on enhancing entity and relationship extraction using LLMs for efficient knowledge graph creation.
3.

Neo4j: Storing Entities and Relationships to Graph Database

This chapter explores Neo4j’s capabilities for managing complex data relationships and storing LLM-extracted entities.
4.

Integrating Knowledge Graphs with LLMs

This chapter focuses on knowledge graph integration with LLMs for enhanced AI interactions.

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Evan Dunbar

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