📚
RAG & Knowledge-Augmented Prompting
Build systems that combine retrieval with generation for accurate, up-to-date, and grounded AI responses.
3 lessons
~1 hours (24 min)
1
Embeddings & Vector Stores
Understand how text becomes searchable vectors and how vector databases power semantic search.
8 minQuizPlayground
2Chunking Strategies
Learn how to split documents into chunks that maximize retrieval quality and minimize noise.
7 minQuizPlayground
3Building RAG Pipelines
Assemble end-to-end RAG systems with query routing, re-ranking, and answer synthesis.
9 minQuizPlayground