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My learningAGENTIC AILesson 14
RAG: Giving AI Agents Knowledge Without Retraining the Model

Lesson 14

RAG: Giving AI Agents Knowledge Without Retraining the Model

Retrieval-Augmented Generation (RAG) allows an AI agent to fetch relevant information from external documents or databases before generating a response. This gives the agent up-to-date knowledge without retraining the underlying model

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Curriculum

21 lessons · 1h 24m

0/21 lessons done1h 24m left
  1. 0104:15

    Why an AI Agent Is More Than a Chatbot

    04:15

  2. 0203:57

    LLM Brain vs Agent Body

    03:57

  3. 0304:14

    AI Autonomy Levels: Copilot to Fully Autonomous Agent

    04:14

  4. 0404:27

    The AI Agent Loop: Observe, Think, Act, Reflect

    04:27

  5. 0503:38

    When to Use AI Agents vs When They’re Overkill

    03:38

  6. 0603:53

    ReAct: The Reason-and-Act Framework Behind Modern AI Agents

    03:53

  7. 0704:14

    Tool Calling: How an LLM Chooses the Right Action

    04:14

  8. 0804:01

    Function Schemas: Teaching AI Models What Tools They Can Use

    04:01

  9. 0904:00

    AI Planning: Breaking Big Goals Into Actionable Steps

    04:00

  10. 1003:53

    AI Reflection: Self-Checking Before Responding

    03:53

  11. 1103:47

    Chain-of-Thought vs Scratchpad Reasoning in AI Agents

    03:47

  12. 1203:40

    Context Window: An AI Agent’s Working Memory & the Lost-in-the-Middle Problem

    03:40

  13. 1303:54

    Short-Term vs Long-Term Memory in AI Agents

    03:54

  14. 03:45

    RAG: Giving AI Agents Knowledge Without Retraining the Model

    03:45

  15. 1503:33

    Agentic RAG: AI Agents That Decide What to Retrieve and When

    03:33

  16. 1603:46

    Agent State: The Memory Layer Behind Production-Ready AI Agents

    03:46

  17. 1704:04

    MCP: The Universal Connector for AI Tools and Agents

    04:04

  18. 1803:30

    Why MCP at the Linux Foundation Reshaped AI Frameworks in 2026

    03:30

  19. 1903:49

    Structured Outputs: When AI Must Return JSON Instead of Text

    03:49

  20. 2004:40

    AI Sandboxes: Safe Environments for Agents to Run Code and Tasks

    04:40

  21. 2104:47

    Computer-Use Agents: AI That Operates Software Like a Human

    04:47