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RAG: Retrieval Augmented Generation

Introduction to RAG

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What is RAG?

Retrieval Augmented Generation

RAG combines retrieval systems with LLMs to answer questions using external knowledge.

The Problem RAG Solves

  • Knowledge cutoff: LLMs don't know recent events
  • Hallucination: LLMs make up facts confidently
  • Domain specificity: LLMs lack your company's data

RAG Architecture

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Key Benefits

  • Grounded answers: Based on real documents
  • Updatable: Add new docs without retraining
  • Auditable: Show source documents