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Combination the NLP with our search engine #21
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I was thinking of using Retrieval Augmented Generation(RAG) to build a chat-bot that can guide us through the database of training materials. Potentially a starting point: |
Good idea, let me think about it and try it in the future :) |
If possible, you could also write a similar issue in your Git(training), that way we could get more ideas, since in this one it seems that we are the only ones who can see it :) Thank you~ |
This is a public repository. Everyone can see this. I try to avoid writing duplicate git issues and instead tend to put the issue in the repository where it fits best. |
Thank you:) And have a nice holiday |
@SeverusYixin consider increasing the priority for this one. |
It would be great if someone could give us some advices on this!
@haesleinhuepf
The ones I can think of at the moment are for the search phase:
Query pre-processing: use NLP to pre-process queries before sending them to Elasticsearch,
e.g: Tokenisation and morphological reduction, Deletion of disabled words, Synonym expansion
The purpose of this issue is to gather ideas to facilitate future implementation.
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