Master Retrieval-Augmented Generation (RAG) Systems
Completed by NGUYEN VIET PHAM
December 25, 2025
4 hours (approximately)
NGUYEN VIET PHAM's account is verified. Coursera certifies their successful completion of Master Retrieval-Augmented Generation (RAG) Systems
What you will learn
Understand the core principles and components of Retrieval-Augmented Generation (RAG) systems.
Master advanced techniques like query expansion and Dense Passage Retrieval (DPR) for better retrieval and answer generation.
Learn to visualize and interpret RAG results through embeddings and graph projections.
Skills you will gain
- Category: Prompt Engineering
- Category: Plot (Graphics)
- Category: Embeddings
- Category: Generative AI
- Category: Vector Databases
- Category: Retrieval-Augmented Generation
- Category: Dimensionality Reduction
- Category: Text Mining
- Category: Large Language Modeling
- Category: LLM Application
