Building and Evaluating Advanced RAG Applications
by DeepLearning.AI × LlamaIndex & TruEra
Go beyond naive RAG with sentence-window and auto-merging retrieval — and learn to actually measure quality.
Overview
Taught with LlamaIndex's Jerry Liu and TruEra's Anupam Datta, this course fixes the two things naive RAG gets wrong: retrieval quality and evaluation. You implement sentence-window retrieval and auto-merging retrieval, then learn the 'RAG triad' — context relevance, groundedness, and answer relevance — to measure whether your system is actually working. It's the course that turns RAG from a demo into something you can iterate on with data.
At a Glance
- Topic
- RAG
- Level
- Intermediate
- Format
- Course
- Cost
- Free
- Duration
- ~1 hour
- Provider
- DeepLearning.AI × LlamaIndex & TruEra
- Hands-on
- Yes — code/exercises
- Certificate
- None
What You’ll Learn
- ✓Sentence-window and auto-merging retrieval
- ✓The RAG triad: context relevance, groundedness, answer relevance
- ✓Evaluating RAG pipelines with TruLens
- ✓Systematically iterating on retrieval quality
Highlights
- •Co-taught by LlamaIndex's founder
- •Evaluation-first — not just building, but measuring
Who It’s For
Best For
- ✓Developers whose RAG demo works but isn't reliable
Prerequisites
- •Basic Python
- •Familiarity with embeddings
FAQ
What is Building and Evaluating Advanced RAG Applications?
A short course on advanced retrieval techniques and the RAG triad of evaluation metrics, using LlamaIndex and TruLens.
Is Building and Evaluating Advanced RAG Applications free?
Building and Evaluating Advanced RAG Applications is free to access.
What level is Building and Evaluating Advanced RAG Applications for?
Building and Evaluating Advanced RAG Applications is aimed at a intermediate audience. Recommended background: Basic Python, Familiarity with embeddings.
How long does Building and Evaluating Advanced RAG Applications take?
Expect roughly ~1 hour. Most learners work through it at their own pace.
What will I learn from Building and Evaluating Advanced RAG Applications?
You'll learn: Sentence-window and auto-merging retrieval; The RAG triad: context relevance, groundedness, answer relevance; Evaluating RAG pipelines with TruLens; Systematically iterating on retrieval quality.