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Building an AI Assistant (RAG)

8 Topics • 22 Lessons

Build a working AI assistant grounded in your own data (RAG), step by step - retrieval, embeddings, grounding, and shipping - for dealership builders.

Course Contents

Start Here

1 lesson

Welcome & How to Use This Course

Module 1 - Why RAG

3 lessons

The Problem: A Base Model Doesn't Know Your Data

The Fix: Retrieval-Augmented Generation

Check Yourself

Module 2 - Preparing Your Knowledge

3 lessons

Gathering and Cleaning Your Source Data

Chunking and Metadata

Check Yourself

Module 3 - Embeddings & the Vector Database

3 lessons

Embeddings: Turning Meaning into Numbers

The Vector Database and Semantic Search

Check Yourself

Retrieval

3 lessons

How Retrieval Works

Worked Example: A Towing Question

Check Yourself

Grounding the Answer

3 lessons

Building the Grounded Prompt

Prompt Shape, Citations, and Empty Results

Check Yourself

Module 6: Putting It Together

3 lessons

The Full Pipeline, End to End

Architecture Recap: Hand This to a Developer

Check Yourself

Module 7: Making It Reliable & Shipping

3 lessons

Reliability: Evals, Guardrails, and Freshness

Cost, Fine-Tuning, and Shipping

Check Yourself