Lab goals | Learn how to build a documentation chatbot |
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What you'll learn | What is RAG |
| Components of a RAG application |
| Perform semantic 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 |
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馃摌 | Lecture material | If you are following along in an instructor-led session, they probably have covered this already. |
馃憪 | Hands-on content | Get ready to do some hands-on work. You should follow these steps. |
馃摎 | Documentation | Reference documentation for hands-on portions of the lab. |
馃 | Advanced content | This content isn't covered during the lab, but if you're interested in learning more, you can check it out. |