ai-engineer-introduction-rag

# ai-engineer-introduction-rag

## Contents

__Roadmap info from [ roadmap website ] (https://roadmap.sh/ai-engineer/rag@9JwWIK0Z2MK8-6EQQJsCO) __

  ## RAG

  Retrieval-Augmented
  Generation
  (RAG)
  is
  an
  AI
  approach
  that
  combines
  information
  retrieval with language generation to create more accurate, contextually relevant outputs. It works by first retrieving relevant data from a knowledge base or external source, then using a language model to generate a response based on that information. This method enhances the accuracy of generative models by grounding their outputs in real-world data, making RAG ideal for tasks like question answering, summarization, and chatbots that require reliable, up-to-date information.