RAG in Depth: Retrieval You Can Trust
Theme: Building with AILevel: Advanced
Find out why RAG systems give wrong answers, and how each stage is made reliable — preparing documents, combining keyword and meaning search with reranking, improving queries, evaluating retrieval and answers separately, and running it safely in production. No code needed.
Before this course
This course builds on:
Lessons
Where a RAG system goes wrong
Preparing documents: chunks and metadata
Hybrid search and reranking
Better queries and agentic retrieval
Evaluating retrieval and answers separately
RAG in production: freshness, access and cost
Spotted a mistake or an unclear explanation? Suggest an improvement on GitHub