AI Enhancement with Knowledge Graphs - Mastering RAG Systems
Unleashing the Power of Knowledge Graphs in RAG Systems
Created by Paulo Dichone
Explore how knowledge graphs can supercharge RAG systems and AI applications. You'll set up your environment, work with Neo4j, and learn to build, manage, and query knowledge graphs. By the end, you'll be ready to integrate these tools into real-world projects and boost your data science expertise.
Packt | Sep 2024 | 156 min
What You Will Learn
You'll move from foundational concepts to hands-on practice, starting with environment setup and basic graph theory. Guided exercises help you build and manage knowledge graphs in Neo4j, then connect them to RAG systems. Each step reinforces your understanding with real-world examples and practical challenges.
Key Features
- Gain practical skills building and querying knowledge graphs with Neo4j
- Integrate knowledge graphs with RAG systems for smarter data retrieval
- Apply advanced vector indexing and embedding techniques in AI projects
Target Audience
Designed for data scientists, AI developers, and technical professionals who know Python and basic machine learning. If you want to deepen your expertise in knowledge graphs and RAG systems, and are ready to apply these skills to innovative AI projects, this course is a great fit.
