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If I wanted to build an support Q&A system using texts from support logs, training docs, transcribed videos etc etc (basically as much text about my product as I can get) would this model be a good start ?


You should look on hugging faces https://huggingface.co/

https://huggingface.co/transformers/task_summary.html#extrac... more precisely


That would be one incredibly expensive Q&A system. As rightly suggested by others, some search + a finetuned Q&A system is what you need.

I've been building a library that makes solving tasks like conversational Q&A easy.

https://github.com/backprop-ai/backprop

If you need some pointers, we have example notebooks and I'm happy to chat about it as well. Would love to know if it helps!


Depending on how much content you've got, this blog post from HuggingFace might be interesting: https://yjernite.github.io/lfqa.html


also, for some quick and simple Q&A system. Haystack https://github.com/deepset-ai/haystack (essentially dense vector similarity on Elastic Search) looks pretty promising and supports whole pipeline.


Thanks that looks decent for quick start.




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