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What I Observe: Simple RAG is Fading, but Complex RAG Will Persist and Evolve - Involving Query Rewriting, Data Cleaning, Reflection, Vector Search, Graph Search, Rerankers, and More Intelligent Chunking. Large Models Should Not Just Be Knowledge Providers, But Tool Users and Process Drivers"

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It's becoming so complex that it will stop being called RAG. It's just an application that uses an LLM as one part of it.

I see many folks misunderstanding RAG for a technology. It's just a process. No matter the complexity, if the underlying principal is to augment the LLM with specific information to the question at hand - it is RAG.

Folks are doing query expansion, chain of thought, all kinds of stuff that isn't even about adding extra info and doesn't involve R. They are just complex LLM applications.

Do you know a good article on this?

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