| Lab goals | Learn how to build a documentation chatbot |
|---|
| What you'll learn | What is RAG |
| Components of a RAG application |
| Perform vector search queries using Mongo Atlas Vector Search |
| Build a RAG-based documentation chatbot using MongoDB Atlas |
| Add memory to your chatbot |
| Time to complete | 90 mins |
In the navigation bar and in some pages, you will notice some icons. Here is their meaning:
| Icon | Meaning | Description |
|---|
| 📘 | Lecture material | If you are following along in an instructor-led session, they probably have covered this already. |
| 👐 | Hands-on content | Get ready to do some hands-on work. You should follow these steps. |
| 📚 | Documentation | Reference documentation for hands-on portions of the lab. |
| 🦹 | Advanced content | This content isn't covered during the lab, but if you're interested in learning more, you can check it out. |