Challenge: Agents for Question Answering with RAG

Test your knowledge of question answering using RAG to create your own chatbot.

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Agents allow us to connect different sources of information to our LLM. We can answer more general knowledge queries and also get a response to the queries regarding the document.


In this challenge, create a question-answering chatbot with the help of agents. We have a technical document that’s a user manual for a 3D printer in PDF format, and we want to build a system that can answer questions about the content of this document using agents. The question-answering chatbot will follow the RAG architecture, as discussed before.

The PDF file in this challenge is a sample user manual generated using ChatGPT for a 3D model printer. Click the “Show User Manual” button to see what it looks like:

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