Submitted by AutoModerator t3_zcdcoo in MachineLearning
augustintherome t1_iz3drnz wrote
I am trying to build a product that would integrate user's many data sources like notion, email, notes, company chats, jira, linear and e.t.c; after which he would be able to ask natural questions like "When do i need to workout today?", to which he will get something like "Today's workout 19:00 (Link to original document)".
What direction should i follow with this idea (e.g. semantic search, text embedings)?
csreid t1_izbhhqs wrote
What you're describing is just called "question answering" in NLP afaik. A language model will take in a source document and a question and spit out either a generated answer to the question or a section of the source text containing the answer.
Check some of the QA models on huggingface to get an idea if you're not already familiar
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