Large language models know only the text in their training data. They learn from public sources like docs, books, and articles. But many projects need an AI system that works with your own data.
What You Learn
This course shows you how to use Retrieval Augmented Generation (RAG) to add new facts to an LLM. You learn how embeddings work and how vector search finds useful text. You see how RAG builds clear context for each request.
How You Use RAG
You learn how to store data and keep it up to date. You also add RAG to real projects with simple code. Each step helps you build a system that can answer questions with your own data.
