Reducing Hallucinations
Lesson 2 of 4
0%Lesson 2
45 min
Introduction to RAG (Retrieval-Augmented Generation)
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AI NarrationQuick Summary
Retrieval-Augmented Generation embeds your documents, fetches the most relevant chunks at query time, and injects them into the prompt. The model then answers from supplied context instead of memorized training data.
What you will learn
- Understand how RAG works at a conceptual and practical level
- Know when RAG is the right solution vs. fine-tuning vs. context injection
- Understand the key components: embeddings, vector stores, retrieval
Intermediate Content
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Introduction to RAG (Retrieval-Augmented Generation) is part of Reducing Hallucinations — an intermediate module. We keep these gated so we can save your progress, recommend next steps, and personalize the curriculum.
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