Eccentric_rag_2020_remaster Apr 2026
RAG was introduced by Meta AI in 2020 as a method to improve Large Language Model (LLM) accuracy by grounding responses in retrieved, external data.
The field has moved beyond basic RAG, diversifying into hybrid retrievers, iterative retrieval loops, and graph-based retrieval systems. eccentric_rag_2020_remaster
Traditional RAG can struggle with highly structured, human-defined knowledge systems. RAG was introduced by Meta AI in 2020
