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Retrieval-Augmented Generation in Practice

Build a RAG system that actually retrieves the right thing: chunking that preserves meaning, hybrid search, re-ranking, and answers you can trace to a source.

Advanced2h 17m4 modules7.4k students

What you'll learn

Design a retrieval pipeline

Understand every stage from ingestion to grounded answer, and where each one typically fails.

Chunk and embed sensibly

Split documents so a retrieved passage still makes sense on its own, and pick an embedding model deliberately.

Measure retrieval quality

Score recall and precision so you can tell whether a change to the pipeline helped.

Ground every answer

Cite sources, detect unsupported claims, and make the system say it does not know.

Course Content

4 modules • 2h 17m

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Retrieval-Augmented Generation in Practice — Vertex