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
AI-POWERED
This course includes
This course includes
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...
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
Introduction to the Course
Constructing Knowledge Graphs
Neo4j: Storing Entities and Relationships to Graph Database
Integrating Knowledge Graphs with LLMs
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