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
blog.subhampanda.com4 min read
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