What is RAG Technology?

RAG stands for Retrieval-Augmented Generation. It is a smart way to make AI chatbots even more helpful. Instead of only using what the AI already knows, RAG lets the chatbot look up information from your own files and documents. This means the chatbot can give better, more accurate answers that are specific to your needs.

With RAG, when you or your students ask a question, the chatbot first searches your uploaded files (like class notes, guides, or lesson plans) to find the most useful information. Then, it uses this information to create a helpful answer. This makes the chatbot much smarter and more useful in the classroom.

RAG is great for teachers because it means your AI tutor can always use the latest and most relevant information you provide. You are in control of what the chatbot knows!

How Does RAG Work?

Loading diagram...

Using the Knowledge Base

Your knowledge base is a collection of files you upload for your tutor. The chatbot uses these files to answer questions. You can upload things like:

• Class notes
• Lesson plans
• Study guides
• Any other helpful documents

When you upload a file, in the Knowledge Base in Tutor Panel, the chatbot will read it and use the information to help answer questions from you or your students based on the knowledge from the file (as per the directions given). To do that, click Upload File.

Supported File Types

Right now, you can upload these types of files:

• PDF (.pdf)
• Word Documents (.doc, .docx)
• Text Files (.txt)
• PowerPoint Presentations (.ppt, .pptx)

We are working to support more file types in the future!

Tip: Make sure your files are clear and well-organized. This helps the chatbot find the best answers for you and your students.