How would you design a real-time retrieval-augmented generation (RAG) pipeline that must query millions of enterprise documents and return context in under 100 milliseconds at Decagon?
Problem
How would you design a real-time retrieval-augmented generation (RAG) pipeline that must query millions of enterprise documents and return context in under 100 milliseconds at Decagon?
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