Advanced RAG: Data Cleaning and Retrieval Techniques

Retrieval-augmented generation (RAG) makes queries smarter, arming them with proprietary data and contextualized knowledge. But even the best RAG methods produce inaccurate answers, and context windows polluted by noisy data. Advanced RAG emerged to fix that.RAG isn’t a single method — there are several ways to boost the accuracy and reliability of LLM outputs with this framework. This guide covers the advanced LLM RAG techniques teams use in production.Why does basic RAG fall short?Basic RAG is sometimes called Naive RAG because of its simple nature.