intermediateFree
Knowledge Graphs for RAG
by Andreas Kollegger · DeepLearning.AI
4.5(3,500 reviews)
55K+ enrolled1 hourUpdated 2024-09
What You'll Learn
Understand the fundamentals and key concepts of RAG
Apply RAG techniques to solve real-world problems
Understand the fundamentals and key concepts of knowledge graphs
Apply knowledge graphs techniques to solve real-world problems
Understand the fundamentals and key concepts of LLMs
Apply LLMs techniques to solve real-world problems
About This Course
Combine knowledge graphs with vector search to build more accurate and explainable RAG applications using Neo4j.
Curriculum
Module 1: RAG & Knowledge graphs6 lessons
- Introduction to RAG
- RAG in Practice
- Hands-on Exercise: RAG
- Introduction to knowledge graphs
- Knowledge graphs in Practice
- Hands-on Exercise: Knowledge graphs
Module 2: LLMs & Vector databases6 lessons
- Introduction to LLMs
- LLMs in Practice
- Hands-on Exercise: LLMs
- Introduction to vector databases
- Vector databases in Practice
- Hands-on Exercise: Vector databases
Module 3: Embeddings3 lessons
- Introduction to embeddings
- Embeddings in Practice
- Hands-on Exercise: Embeddings
Instructor
Andreas Kollegger
Instructor at DeepLearning.AI
Pros & Cons
Pros
- Completely free to access
- High-quality video lectures
- Taught by Andreas Kollegger
- Well-structured curriculum
Cons
- No certificate provided
- Self-paced requires discipline
Free
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