Program Outline
Techniques for Improving the Effectiveness of RAG Systems
Covers techniques that help take RAG systems from proof of concept to more serious production assets.
Delivery
Virtual, On-site, or Hybrid
Duration
3 hours
Product
NVIDIA NIM
Role
AI Engineer
NVIDIA
Generative AI / LLMTechniques for Improving the Effectiveness of RAG Systems
NVIDIA NIM
Best Fit
Audience Profile
Who This Program Is For
Built for teams improving serious RAG systems for production use.
Overview
Program Summary
Official NVIDIA self-paced course on improving the effectiveness of retrieval-augmented generation systems.
Course Outline
Complete Module Sequence
Review the full module sequence for this program, including the primary topic coverage in each module where available.
1Module 1
Improve RAG system quality
+
Module 1
Improve RAG system quality
Learn applied techniques for making RAG systems more effective and production-ready.
- RAG quality improvement
- Enterprise effectiveness patterns
Coverage Areas
Topic Coverage
Coverage Item 1
RAG quality improvement
Coverage Item 2
Enterprise effectiveness patterns
Customization
Adapt This Program for Your Team
We can adapt this program around your team structure, platform priorities, delivery goals, and the scenarios your people need to work through in practice.
- •Use your production RAG scenario
- •Add observability, evaluation, and governance topics
