1M-Token Context: Do You Still Need RAG?
RAG isn't dead. Your RAG architecture from 2024 is. Every time a lab ships a bigger window, the same take goes around:...
RAG isn't dead. Your RAG architecture from 2024 is. Every time a lab ships a bigger window, the same take goes around:...
Traditional RAG excels at retrieving relevant chunks, but struggles with questions requiring multi-hop reasoning across entities and relationships. Graph RAG solves this...
Retrieval-Augmented Generation (RAG) has become the standard architecture for LLM applications that need accurate, up-to-date information. However, naive RAG implementations often fail...