When All Context Matters: Extended Cache Augmented Generation - Luis Romero-Sevilla, Orbis
Standard RAG and GraphRAG fail when every document is relevant and data is replaced frequently, motivating Extended Cache Augmented Generation.
“If your collection of documents isn't changed very often, GraphRAG is an excellent approach for finding those relationships within details to answer the user's question.”
Orbifold's Luis Romero-Sevilla outlines why vector RAG and GraphRAG break down for use cases where all documents are relevant to a global question and the collection becomes obsolete quickly, positioning Extended Cache Augmented Generation as the alternative. It's a useful engineering framing of retrieval trade-offs but is a vendor talk without disclosed benchmarks or a broad industry signal.