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RAG and working with documents — AI Academy

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IntermediateRAG

RAG and working with documents

A course on Retrieval Augmented Generation: when you need it, how to build it, where it breaks.

2modules

4lessons

60 mintotal time

Engineers, AI engineersaudience

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0%0 / 4 lessons

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Module 1

RAG basics

Why RAG is needed and how it's structured.

What RAG is and when you need it

The core idea: mix relevant documents into the context before answering.

Chunking, embeddings, retrieval

Where the typical RAG errors live and how to avoid them.

Module 2

Advanced

Reranker, hybrid search, graph RAG, RAG eval.

RAG eval and reranking

How to measure RAG quality and lift it on a second pass.

RAG in production: security and updates

How to update the corpus, protect secrets, and scale.

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Updated · May 14, 2026