Advanced RAG

In practical terms, Advanced RAG is a retrieval-augmented generation approach that improves basic retrieval with techniques such as query rewriting, reranking, filtering, hybrid search, or multi-step retrieval. It is especially relevant when teams are building LLM applications that must balance usefulness, cost, latency, security, evaluation, and reliable access to data or tools. Related concepts often include governance, integration, monitoring, evaluation, and human oversight.