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Building RAG Applications
Ground LLM answers in your own data with retrieval-augmented generation.
AdvancedUpdated Sept 2026English
Taught by AssistedCareer Team
What you’ll learn
- Chunk and embed documents
- Build retrieval pipelines
- Measure and improve answer quality
Curriculum
2 modules · 6 lessons · 1h 9m
Retrieval3 lessons · 33 min
Find the right context.
- Why RAGPreview9:00
- Chunking strategies12:00(available after enrolling)
- Vector databases12:00(available after enrolling)
Generation3 lessons · 36 min
Use context well.
- Prompting with context12:00(available after enrolling)
- Re-ranking12:00(available after enrolling)
- Evaluating RAG12:00(available after enrolling)
What you’ll build
- Project 1
Docs Q&A
Answer questions over a documentation site with citations.
Before you start
- Working with LLMs or equivalent experience
Who this is for
- Developers building knowledge assistants
About this course
Ground LLM answers in your own data with retrieval-augmented generation.
What's insideLink to this section
- Retrieval: Find the right context.
- Generation: Use context well.
Your instructor
AssistedCareer Team
Sample instructor profile
Placeholder profile created by the seed script. Replace with your real instructors before launch.
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