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Updated 6 months ago

How do create a chatbot that uses RAG in

At a glance

The community member is interested in creating a chatbot that uses the Retrieval Augmented Generation (RAG) function in the Llama Index. They want to know how to implement this and are concerned that if they ask questions not covered in the document, they will not receive an answer.

The comments suggest that the community member could use sec-insights or follow the first example in the Llama Index documentation to ask questions about documents and build an API over it. However, the community member is unsure what sec-insights is and asks if they can just upload a PDF file. They also mention that they are Korean and have difficulty understanding some things even with translation.

Another community member provides a link to the sec-insights website, and a third community member asks if the original poster is a developer. The original poster confirms they are studying and want to create a chatbot using RAG that they have implemented. The final comment suggests the original poster should follow the tutorial.

There is no explicitly marked answer in the comments.

Useful resources
How do create a chatbot that uses RAG in the llama index?

If ask a question other than what is in the document, will not receive an answer.

I want to create a chatbot with rag function using llama index.

How can I implement it?
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7 comments
I'm pretty sure you could just use sec-insights, or you could -> Follow the first example in the doc that shows you how to ask questions to documents
https://docs.llamaindex.ai/en/stable/getting_started/starter_example.html

And build an API over it
What is sec-insights?

Is it okay if I just upload my PDF file? I'm Korean, so there are a lot of things I don't understand even with translation.
Are you a dev though?
Yes, but I'm just studying. I want to create a chatbot using rag that I implemented.
then follow the tutorial
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