RAG: AI's Court Clerk Hack That's Everywhere – Except Where It Counts
Hundreds of research papers have piled onto RAG since its 2020 debut. But after two decades watching Valley hype cycles, I'm asking: does this actually fix LLMs, or just kick the can?
⚡ Key Takeaways
- RAG fetches external data to ground LLMs, slashing hallucinations with citations.
- Easy to add (5 lines of code), but scales to real costs in vectors and compute.
- Money flows to infra players like Pinecone and NVIDIA, not pure model makers.
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Originally reported by NVIDIA Deep Learning Blog
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