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Module 3: RAG (Retrieval-Augmented Generation)

📚 Module 3: RAG (Retrieval-Augmented Generation)

Course ID: GENAI-503
Subject: The Open-Book Test

AI like ChatGPT knows everything on the public internet, but it doesn’t know your private data. RAG gives the AI a private library.

🏗️ Step 1: Retrieval (The “Library”)

To give the AI a “book,” we build a Vector Database of your documents.

🔦 The Analogy: The Librarian

When you ask a question, a Librarian runs into your private library, finds the relevant pages, and brings them to the AI.

🏗️ Step 2: Augmentation (The “Context”)

Now the AI can answer based on real evidence. It’s like an Open-Book Test.

🥅 Module 3 Review

  1. RAG: Retrieval-Augmented Generation.
  2. Vector Database: A library for your private data.
  3. Retrieval: Finding info for a specific question.
  4. No Hallucinations: Using evidence instead of guessing.

:::tip Slow Learner Note RAG is the most important skill for a modern AI dev. It allows you to build tools that understand your specific company or world! :::