What is Advanced RAG Patterns?
TL;DR
Advanced implementation patterns for Retrieval-Augmented Generation that go beyond basic RAG. Dramatically improve accuracy and practicality.
Advanced RAG Patterns: Definition & Explanation
Advanced RAG Patterns is a collective term for sophisticated implementation techniques that go beyond basic RAG (Retrieval-Augmented Generation). Key patterns include Agentic RAG (where an AI agent autonomously determines the retrieval strategy), GraphRAG (structured retrieval using knowledge graphs), Corrective RAG (automatic quality assessment of retrieval results with re-retrieval), Self-RAG (self-judgment on whether retrieval is needed), Hybrid RAG (combining keyword search and vector search), and Multimodal RAG (extending retrieval to images and tables beyond text). In practical applications such as enterprise knowledge bases and customer support, adopting these advanced patterns is key to achieving significant accuracy improvements.