Introduction and Need

➺ Core Concepts:

  • Definition of RAG
  • Evolution from traditional LLMs
  • Key advantages and use cases

    • ➺ Fundamental Components:

    RAG Architecture 
  • Retriever module
  • Generator module
  • Knowledge base integration
  • Query processing
    • Key Benefits
  • Improved accuracy
  • Reduced hallucination
  • Real-time knowledge updates
  • Source attribution

    • ➺ Business Value:

  • Cost efficiency
  • Scalability
  • Compliance benefits
  • Knowledge management