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What is RAG (Retrieval-Augmented Generation)?

Understand how modern AI systems use external knowledge for better results.

IntermediateLesson 18 min read
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What is RAG?

Retrieval-Augmented Generation (RAG) is a technique that enhances AI by combining external knowledge retrieval with language generation.

  • Retrieve relevant documents
  • Use them as context
  • Generate more accurate answers
RAG solves hallucination by grounding AI outputs in real data.
Key Takeaway: RAG is the foundation of modern AI applications like chatbots, search systems, and enterprise AI tools.