Retrieval-Augmented Generation (RAG): Chunk, Embed, Retrieve Explained
What is Retrieval-Augmented Generation (RAG)? The name says it: you retrieve relevant information and then generate responses based on that information. RAG is useful because large language models (LL
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Nikhil Tale
Data, AI, and engineering beyond tutorials.
Questions listed as worth wondering are fantastic starting point of how things works. I gone through same way and now has good understanding of working of different components. Good share